INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGIES · Huse Fatkic, University of Sarajevo, Bosnia and Herzegovina Ibrahim Uyanik, Selcuk University, Turkey Ihsan Korkut, Gazi University,

ABSTRACTS BOOK

E-ISBN: 978-605-68537-8-4

INTERNATIONAL CONFERENCEON ENGINEERING TECHNOLOGIES

October 25-27, 2019

Konya/TURKEY

ICENTE’19

International Conference

on Engineering Technologies

3th International Conference, ICENTE

Konya, Turkey, October 25-27, 2019

Abstracts

Editors

Ismail SARITAS

Mehmet CUNKAS

Fatih BASCIFTCI

International Conference on Engineering Technologies, ICENTE’19


International Conference on Engineering Technologies (ICENTE’19) ii

E-ISBN: 978-605-68537-8-4 October 25-27, 2019, Konya, TURKEY

International Conference

on Engineering Technologies

3th International Conference, ICENTE


Abstracts

Editors

Ismail SARITAS

Mehmet CUNKAS

Fatih BASCIFTCI

E-ISBN: 978-605-68537-8-4

www.snbt.com.tr

SN Bilgi Teknolojileri

Kürden Mh. Temizciler Sk. No:5/3 Meram / KONYA

Tel: 0.332 323 07 39

October – 2019

iii International Conference on Engineering Technologies (ICENTE’19)


EDITORS :

Prof. Dr. Ismail SARITAS

Selcuk University, Turkey

Depertmant of Electrical and Electronics Engineering, Faculty of Technology

Alaeddin Keykubat Campus 42031 Konya, Turkey [email protected]

Prof. Dr. Mehmet CUNKAS


Depertmant of Electrical and Electronics Engineering, Faculty of Technology


Prof. Dr. Fatih BASCIFTCI


Depertmant of Computer Engineering, Faculty of Technology


ASSISTANT EDITORS :

Ilker Ali OZKAN




Murat KOKLU




International Conference on Engineering Technologies (ICENTE’19) iv


PREFACE

International Conference on Engineering Technologies (ICENTE'19) was organized in Konya, Turkey

on 25-27 October 2019.

The main objective of ICENTE’19 is to present the latest research and results of scientists related to

Electrical and Electronics, Biomedical, Computer, Civil, Mechanical, Mechatronics, Metallurgical and

Materials Engineering fields. This conference provides opportunities for the delegates from different areas in

order to exchange new ideas and application experiences, to establish business or research relations and to

find global partners face to face for future collaborations.

All paper submissions have been double blind and peer reviewed and evaluated based on originality,

technical and/or research content/depth, correctness, relevance to conference, contributions, and readability.

Selected papers presented in the conference will be published in the Journal of Selcuk Technic if their

content matches with the topics of the journal.

At this conference, there are 203 paper submissions. Each paper proposal was evaluated by two

reviewers. And finally, 123 papers were presented at the conference from 8 different countries (Albania,

Azerbaijan, Bulgaria, Crotia, Iraq, Macedonia, Latvia, Turkey).

In particular, we would like to thank Prof. Dr. Mustafa SAHIN, Rector of Selcuk University; Prof. Dr.

Prof. Dr. Jurgis Porins, Riga Technical University (RTU); Prof. Dr. Tzvetomir Vassilev, University of Ruse;

Journal of Selcuk Technic. They have made a crucial contribution towards the success of this conference.

Our thanks also go to the colleagues in our conference office.

Ismail SARITAS – Mehmet CUNKAS – Fatih BASCIFTCI

Editors

v International Conference on Engineering Technologies (ICENTE’19)


PROGRAMME COMMITTEES

HONORARY CHAIR :

Mustafa Sahin, Rector of Selcuk University, Turkey

GENERAL CHAIRS :

Ismail Saritas, Selcuk University, Turkey

Mehmet Cunkas, Selcuk University - Turkey

Fatih Basciftci, Selcuk University – Turkey

CO-CHAIRS :

Necmettin Tarakcioglu, Selcuk University, Turkey

Alla Anohina Naumeca, Riga Technical University, Latvia

Silyan Sibinov Arsov, Rousse University, Bulgaria

Murat Ciniviz, Selcuk University, Turkey

SECTION EDITORS :

Mehmet Cunkas, Selcuk University, Turkey

Fatih Basciftci, Selcuk University, Turkey

Ibrahim Uyanik, Selcuk University, Turkey

Mustafa Altin, Konya Technical University, Turkey

Adem Golcuk, Selcuk University, Turkey

Ali Yasar, Selcuk University, Turkey


INTERNATIONAL ADVISORY BOARD :

Adem Alpaslan Altun, Selcuk University, Turkey

Ahmet Fenercioglu, Gaziosmanpasa University, Turkey

Ahmet Yonetken, Afyon Kocatepe University, Turkey

Ahmet Afsin Kulaksiz, Selcuk University, Turkey

Alexander Sudnitson, Tallinn University of Technology, Estonia

Alina Ivan Dramogir, Gheorghe Asachitechnical University of Iasi, Romania


Almoataz Youssef Abdelaziz, Ain Shams University, Egypt

Amar Ramdane Cherif, University of Versailles, France

Anca Loana Andreescu, Academy of Economic Studies, Bulgaria

Anne Villems, University of Tartu, Estonia

Antonella Reitano, University of Calabria, Italy

Antonio Mendes, Universidade De Coimbra, Portugal

Arif Gok, Amasya Teknoloji Faculty, Turkey

Aristomenis Antoniadis, Technical University of Crete, Greece

Artan Luma, South East European University, Macedonia

Asrun Matthiasdottir, Reykjavik University, Israel

Bahattin Karakaya, Istanbul University, Turkey

Biagio Lenzitti, University of Palermo, Italy

Binod Kumar, Jspm Jayawant Institute of Computer Applications Pune, India

Boris Akanaev, Kazak National University, Kazakhstan

Dimitris Dranidis, Sheffield University, Greece

Domenico Tegolo, Universita Degli Studi Di Palermo, Italy

Eisha Akanksha, Mvj College of Engineering, India

Elinda Kajo Mece, Polytechnic University of Tirana, Romania

Engin Ozdemir, Kocaeli University, Turkey

Erdal Bekiroglu, Abant Izzet Baysal University, Turkey

Erdinc Kocer, Selcuk University, Turkey

Erol Turkes, Kirklareli University, Turkey

Ertugrul Durak, Suleyman Demirel University, Turkey

Gabriel Luna Sandoval, Sonora State University, Mexico

International Conference on Engineering Technologies (ICENTE’19) vi


Hakan Isik, Selcuk University, Turkey

Hamit Saruhan, Duzce University, Turkey

Hamza Bensouilah, Laboratoire de Mecanique et Structures, Algeria

Hasan Gokkaya, Karabuk University, Turkey

Hayri Arabaci, Selcuk University, Turkey

Heinz Dietrich Wuttke, Ilmenau University of Technology, Germany

Howard Duncan, Dublin City University, Ireland

Hulusi Karaca, Selcuk University, Turkey

Humar Kahramanli, Selcuk University, Turkey

Huse Fatkic, University of Sarajevo, Bosnia and Herzegovina


Ihsan Korkut, Gazi University, Turkey

Ilker Ali Ozkan, Selcuk University, Turkey

Ivan Jelinek, Czech Technical University, Czech Republic

Jaharah A Ghani, National University of Malaysia, Malaysia

Jan Vom Brocke, University of Liechtenstein, Liechtenstein

Janis Grundspenkis, Riga Technical University, Latvia

Janusz Jablonowski, Warsaw University, Poland

Jiri Srba, Aalborg University, Denmark

Kadir Gok, Manisa Celal Bayar University, Turkey

Karl Jones, Liverpool John Moores University, United Kingdom

Laurentiu Cristian Deaconu, University of Pitesti, Romania

Luca Lombardi, University of Pavia, Italy

M Ugras Cuma, Cukurova University, Turkey

Mahdi Shahbakhti, Michigan Technology University, United States

Mahmut Sami Donduren, Konya Technical University, Turkey

Majida Ali Abed Meshari, Tikrit University, Iraq

Marco Porta, University of Pavia, Italy

Mehmet Akbaba, Karabuk University, Turkey

Mehmet Kamanli, Konya Technical University, Turkey

Mehmet Akif Sahman, Selcuk University, Turkey

Mehmet Cengiz Kayacan, Suleyman Demirel University, Turkey

Mehmet Turan Demirci, Selcuk University, Turkey

Mirjana Ivanovic, University of Novi Sad, Serbia

Miroslav Neslusan, University of Zilina, Slovakia

Muciz Ozcan, Necmettin Erbakan University, Turkey

Muhammad Zia Ur Rehman, National Defence University, Pakistan

Mumtaz Mutluer, Necmettin Erbakan University, Turkey

Murat Koklu, Selcuk University, Turkey

Musa Hakan Arslan, Konya Technical University, Turkey


Mustafa Tolga Cogurcu, Konya Technical University, Turkey

Natasa Hoic Bozic, Universityof Rijeka, Croatia

Nihat Yildirim, Gaziantep University, Turkey

Nikolaos Blasis, Technical University of Crete, Greece

Novruz Allahverdi, Tob Karatay University, Turkey

Osman Nuri Celik, Konya Technical University, Turkey

Pantha Ghosal, University of Technology Sydney, Australia

Pino Caballero Gil, University of La Laguna, Spain

Saadetdin Herdem, Selcuk University, Turkey

Sakir Tasdemir, Selcuk University, Turkey

Shahabuddin Memon, University of Sindh, Pakistan


Spiridon Cretu, Gheorghe Asachitechnical University of Iasi, Romania

Stavros Christodoulakis, Technical University of Crete, Greece

Stavros Nikolopoulos, University of Ioannina, Greece

Tahir Sag, Selcuk University, Turkey

vii International Conference on Engineering Technologies (ICENTE’19)


Tatjana Dulinskiene, Kaunas University of Technology, Latvia

Temel Kayikcioglu, Karadeniz Technical University, Turkey

Thomas Engel, University of Luxembourg, Luxembourg

Tugce Demirdelen, Adana Science Technology University, Turkey

Ulku Sultan Keskin, Konya Technical University, Turkey

Ulvi Seker, Gazi University, Turkey

Virginio Cantoni, University of Pavia, Italy

Yuri Pavlov, Bulgarian Academy of Sciences, Bulgaria

Zarifa Jabrayilova, Institute of Information Technology Anas, Azerbaijan

ORGANIZING COMMITTEE :



Angel Smrikarov, Rousse University, Bulgaria

Lilia Georgieva, Heriot Watt University, United Kingdom

Ismail Saritas, Selcuk University, Turkey

Fatih Basciftci, Selcuk University, Turkey

Mehmet Cunkas, Selcuk University, Turkey


Polyxeni Arapi, Technical University of Greece, Greece


Adem Golcuk, Selcuk University, Turkey

Ali Yasar, Selcuk University, Turkey

Ayhan Erol, Afyon Kocatepe University, Turkey


TECHNICAL COMMITTEE :

Ilker Ali Ozkan, Selcuk University, Turkey

Murat Koklu, Selcuk University, Turkey

Esra Kaya, Selcuk University, Turkey

Burak Tezcan, Selcuk University, Turkey

International Conference on Engineering Technologies (ICENTE’19) viii


CONTENTS

ADVANCES IN OPTICAL AMPLIFICATION TECHNOLOGIES FOR HIGH

CAPACITY FIBER OPTICAL TRANSMISSION SYSTEMS

1

JURGIS PORINS

TRY ON OF VIRTUAL GARMENTS ON VIRTUAL BODIES 2

TZVETOMIR VASSILEV

SEMI AUTOMATIC CARDIAC VECTOR AND ANGLE CALCULATOR

DEVELOPMENT

3

ATAKAN ISIK, MEHEMT FEYZI AKSAHIN

REVERSIBLE DISULFIDE FUNCTIONALIZATION OF PEGYLATED CHITOSAN

BASED HYDROGELS SCAFFOLDS FOR SELECTIVE THIOL IMMOBILIZATION

AND RELEASE

4

MEHMET ARSLAN

BLOOD GLUCOSE CONTROL ALGORITHMS AND EXPLANATION OF INSULIN

AND CARBOHYDRATE MECHANISMS FOR TYPE 1 DIABETES MELLITUS

5

NIHAT CANKAYA, OMER AYDOGDU

BIOMEDICAL APPLICATIONS OF COLLAGEN 6

GULSUM TIRAS, AHMET ERHARMAN, ESMA ERYILMAZ

A MICRO SCALE BIOSENSOR FOR THE DETECTION OF BACILLUS

STEAROTHERMOPHILUS SPORE GERMINATION

7

MUSTAFA ILKER BEYAZ, AISSA SEKKOUTI

LYAPUNOV EXPONENTS AS A STATISTICAL TEST TOOL 8

YILMAZ AYDIN , FATİH ÖZKAYNAK

A NEW METHOD FOR PERFORMANCE IMPROVEMENT OF CHAOTIC S-BOX

STRUCTURES

9

YAŞAR SELİM BAHÇECİ, FATİH ÖZKAYNAK

FEATURE SELECTION FROM ELECTROENCEPHALOGRAM SIGNALS BY

MEANS OF USING PRINCIPAL COMPONENT ANALYSIS

10

SEMA YILDIRIM, HASAN ERDINC KOCER

ANALYSING RESTING STATE FUNCTIONAL MRI USING DYNAMIC CAUSAL

MODELING IN SCHIZOPHRENIA

11

GUZIN OZMEN, BURAK YILMAZ

WEIGHTED 3D DWT BASED DENOISING ON BRAIN MRI APPLICATIONS

WITH SIMULATED AND REAL MS MRI

12

GUZIN OZMEN, BURAK YILMAZ

BRAIN ATLAS REGISTIRATION WITH OPTIMIZATION ALGORITHMS 13

BURAK YILMAZ, GUZIN OZMEN

FRACTURE TOUGHNESS AS A KEY ASPECT OF BONE FRACTURE

RESISTANCE

14

MUSTAFA UNAL

ix International Conference on Engineering Technologies (ICENTE’19)


IMPLEMENTATION AND PERFORMANCE OF SORTING ALGORITHMS IN

TERMS OF TIME AND SPACE ON INTEL CORE I7 TM PROCESSOR BY USING C

JAVA PYTHON AND PHP AS A PROGRAMMING LANGUAGE

15

ELISSA MOLLAKUQE, MENTOR HAMITI, VESA MOLLAKUQE

HOURLY DAILY AND MONTHLY ANALYSIS OF BIG DATASET OF BITCOIN

BLOCKS

16

AHMET SAKIR DOKUZ, ALPER ECEMIS, METE CELIK

DATA CLUSTERING WITH BAT ALGORITHM USING BENCHMARK

DATASETS

17

MINA ARJAMAND FADHIL, GULAY TEZEL

AN ENHANCED FIREFLY ALGORITHM WITH OPPOSITION BASED LEARNING 18

TAHIR SAG, AHMET OZKIS, SELAHATTIN ALAN

VOIP NETWORK SECURITY ISSUES VIA LAYERED ARCHITECTURE 19

SEVKI GANI SANLIOZ, MUHAMMED ALI AYDIN

TIME SERIES ANALYSIS WITH DEEP LEARNING APPROACHES FOR

REMAINING USEFUL LIFE PREDICTION

20

CEREN NUR BAS, OZLEM DURMAZ INCEL

SECURITY FEATURES OF ACORN AND ASCON AS COMPETITION FOR

AUTHENTICATED ENCRYPTION SECURITY APPLICABILITY AND

ROBUSTNESS CAESAR

21

ELISSA MOLLAKUQE, VESNA DIMITROVA

A DIFFERENT APPROACH TO FEATURE SELECTION WITH APRIORI

ALGORITHM

22

HAVVA CETINER ALTIPARMAK, ONUR INAN

A REVIEW OF WEB USER BEHAVIOR STUDIES 23

RIDVAN SARACOGLU, MOHAMMED MAHMOOD QADER

SHORT TERM ELECTRICAL LOAD FORECASTING USING ARTIFICIAL

NEURAL NETWORK

24

VILDAN EVREN, ILKER ALI OZKAN

AN APPLICATION TO PROVIDE RADIO CONTROL WITH VOICE COMMANDS

FOR VISUAL IMPAIRED INDIVIDUALS

25

SAKIR TASDEMIR, EMRE AVUCLU, BURAK TEZCAN

CHEST X RAY IMAGE DENOISING BASED ON CONVOLUTIONAL DENOISING

AUTOENCODER

26

MOHAMMED IBRAHIM, SAIT ALI UYMAZ

MODERN APPROACHES TO THE APPLICATION OF MACHINE LEARNING

AND DATA MINING METHODS IN THE HEALTHCARE INDUSTRY

27

ADEM ALPASLAN ALTUN, SONA CAGLAR, ANAR TAGHIYEV

INFORMATION EXPLOITATION AND DIGITAL PIRACY 28

ARTAN LUMA, BLERTON ABAZI, MUHAMET GERVALLA, AZIR ALIU, HALIL SNOPCE

International Conference on Engineering Technologies (ICENTE’19) x


INFORMATION SECURITY AND PRIVACY ON INTERNET OF THINGS 29

BLERTON ABAZI, ARTAN LUMA, MUHAMET GERVALLA, HALIL SNOPCE, AZIR ALIU

SKIN DISEASE CLASSIFICATION USING CONVOLUTIONAL NEURAL

NETWORKS

30

ALI QUTUB, ISMAIL SARITAS

COMPARISON THE PERFORMANCE OF CLASSIFICATION ALGORITHMS ON

INTRUSION DETECTION SYSTEMS

31

MOHAMMED HUSSEIN IBRAHIM, MEHMET HACIBEYOGLU

KNOWLEDGE BASED ADAPTIVE EXPERT SYSTEM FRAMEWORK FOR

TRACKING WATER POLO PLAYERS BASED ON COMMONKADS

METHODOLOGY

32

VLADIMIR PLESTINA, HRVOJE TURIC

REMOTE HOME CONTROL USING ARDUINO WITH ANDROID BASED

APPLICATION

33

EMRE AVUCLU, SAKIR TASDEMIR

CONVOLUTIONAL NEURAL NETWORK BASELINE MODEL BUILDING FOR

PERSON RE IDENTIFICATION

34

SALEH HUSSIN, KHALED ELASHEK, REMZI YILDIRIM

AGGREGATION OF MULTI STAKEHOLDER PREFERENCES ON FEATURE

MODELS

35

ALPER KILIC, AHMET ARSLAN

OBSERVATIONS ON THE EVALUATION OF DORSAL HAND VEIN DHV

RECOGNITION AND IDENTIFICATION

36

KHA LED ALASHIK, SALEH HUSSIN, REMZI YILDIRIM

DYNAMIC ANALYSIS OF MALWARE IN WINDOWS OPERATING SYSTEMS

FROM PREVIOUSLY CAPTURED NETWORK PACKETS

37

BELKIJA RESHITI, MENTOR HAMITI, BESNIK SELIMI, BUJAR RAUFI

IMPLEMENTATION OF MOTH FLAME OPTIMIZATION ALGORITHM FOR

THE PREDICTION OF TURKEY S ENERGY DEMAND

38

AHMET OZKIS, TAHIR SAG

IMAGE PROCESSING BASED FAULT DETECTION IN ELEVATOR CIRCUIT

BOARDS

39

HASAN ERDINC KOCER, TEVFIK AKCAN

AN EFFICIENT APPROACH TO SIMULATION OF SEPIC CONVERTER WITH

MUTUAL INDUCTANCE

40

SECKIN SOLA, ALI BEKIR YILDIZ, TARIK ERFIDAN

SEE THE WIRELESS 41

ALI YESIL, RADOSVETA SOKULLU

DESIGNING A SYSTEM FOR NATURAL GAS STORAGE FACILITIES IN SALT

CAVERNS

42

ENIS MURAT ORHAN, ILYAS CANKAYA

xi International Conference on Engineering Technologies (ICENTE’19)


USING AD7746 FOR HIGH PRECISION CAPACITANCE MEASUREMENT IN

INDUSTRIAL APPLICATIONS

43

NIHAT CANKAYA, MUCIZ OZCAN

BIAXIAL FUZZY LOGIC BASED SOLAR TRACKING SYSTEM 44

MEHMET CUNKAS, ADNAN MOHAMMED ANWER SHAKARJI

IMU SENSOR SUPPORTED BLUETOOTH BASED FALL DETECTION SYSTEM

FOR SAILORS

45

BERK AGIN, MUZAFFER SEVIL YESILPINAR, TANER AKKAN, YAVUZ SENOL, SUKRAN

KARA

A FREE FORM LENS DESIGN FOR LONG RANGE LED ILLUMINATION 46

AHMET BINGUL, ANDREW BEDDALL

IMPLEMENTATION OF BABYLONIAN SQUARE ROOT COMPUTATION

ALGORITHM WITH VHDL

47

ABDULKADIR SADAY, ILKER ALI OZKAN

LOCATING THE SENSORS POSITIONS IN WSN BASED ON MUSIC

ALGORITHM

48

SAAD HRESHEE

DETECTING THYROID CANCER BY USING CONVOLUTION NEURAL

NETWORK

49

AYMEN SALMAN DAWOOD EZZAT

A CURRENT LIMITING CONTROL STRATEGY OF GRID CONNECTED

INVERTER FOR OVERCURRENT PROTECTION

50

MEHMET EMIN MERAL, DOGAN CELIK

IMPLEMENTATION OF RENEWABLE ENERGY INTEGRATED AUTOMATION

TRAINING SET

51

CIHAN SAHIN, MEVLUT KARACOR, HARUN OZBAY

AN EFFECTIVE SOLUTION OF ERAB PROBLEMS IN LTE 52

ABDULLAH GENC

MEASUREMENT OF DIELECTRIC CHARACTERISTICS OF FIG AND

MULBERRY LEAVES BY WAVEGUIDE TRANSMISSION LINE TECHNIQUE

53

HABIB DOGAN

FIXED AND VARIABLE ANGLE SOLAR ENERGY PLANT ANALYSIS 54

OYA KILCI, MURAT KOKLU

SOLUTION OF PROBLEMS ON BAD SIGNAL QUALITY VIA RF OPTIMIZATION

IN CELLULAR NETWORK

55

IBRAHIM BASYIGIT

USE OF PMSM IN ELECTRIC MOBILITY SCOOTER PROPULSION 56

FATIH ALPASLAN KAZAN, RAMAZAN AKKAYA

International Conference on Engineering Technologies (ICENTE’19) xii


DESIGN AND COST OF SPEED TRAIN SYSTEM WHICH GET ENERGY FROM

SOLAR

57

MINE SERTSOZ

MOSFET ONLY CURRENT MODE BP LP FILTER 58

EMRE ARSLAN, YUNUS UZUN, SAFAK MURAT KIZILIRMAK

EFFECTS OF STATOR SLOT OPTIMIZATION ON EFFICIENCY AND TORQUE

IN INDUCTION MOTOR

59

YUNUS UZUN, EMRE ARSLAN

LOW VOLTAGE GAIN BOOSTED TWO STAGE CMOS OPERATIONAL

AMPLIFIER

60

ERSIN ALAYBEYOGLU

INVESTIGATION ON DIELECTRIC PERMITTIVITY OF PZT MANUFACTURED

BY ELECTRIC FIELD ASSISTED SINTERING

61

ILYAS SAVKLIYILDIZ, CIGDEM OKUR

EFFECT OF MILLING TIME ON MORPHOLOGY AND STRUCTURAL

DEVELOPMENT OF CU CR COMPOSITE POWDERS

62

HALIT SUBUTAY, CIHAD NAZIK, EMIN SALUR

INVESTIGATION OF THE EFFECT OF DIFFERENT MILLING TIMES ON THE

CHARACTERIZATION OF MECHANICALLY ALLOYED CU Y2O3 COMPOSITES

63

HALIT SUBUTAY, EMIN SALUR, CIHAD NAZIK

PRODUCTION OF B4C REINFORCED ALUMINUM MATRIX COMPOSITE BY

SQUEEZE CASTING METHOD AND DETERMINATION OF WEAR RESISTANCE

64

AHMET KABIL, CAGLAR YUKSEL, SERDAR OSMAN YILMAZ, MUSTAFA CIGDEM

ONE STEP ELECTROSPINNING OF GRAPHENE OXIDE SILVER

NANOPARTICLE FUNCTIONALIZED POLY E CAPROLACTONE

BIOCOMPOSITE NANOFIBERS AS AN ADVANCED ANTIMICROBIAL

APPLICATIONS

65

FATMA SARIIPEK, FATIH SEVGI

A NOVEL PHOSPHOR MATERIAL FOR WHITE LIGHT EMITTING DIODES

WLEDS EU2 DOPED SI2N2O

66

ALPARSLAN ALI BALTA, ARIFE YURDAKUL, ORKUN TUNCKAN, SERVET TURAN, HILMI

YURDAKUL

EFFECT OF INOCULANT TYPE ON MICROSTRUCTURE OF A206 AI ALLOY 67

SELMAN CETINTURK, NECMETTIN TARAKCIOGLU, MUSTAFA ACERER

PULSED LASER DEPOSITION SYSTEM FOR A TIN OXIDES THIN FILMS

DEPOSITION

68

AMINA HOUIMI, SERAP YIGIT GEZGIN, HAMDI SUKUR KILIC

FPL ETCHING PARAMETER OPTIMIZATION FOR ADHESION PERFORMANCE

OF AL CFRP ADHESIVE JOINTS

69

ONUR COBAN, MUSTAFA OZGUR BORA, BELGIN GENC OZTOPRAK, ERHAN

AKMAN, TOGAYHAN KUTLUK

xiii International Conference on Engineering Technologies (ICENTE’19)


INVESTIGATION OF THE USE OF FLY ASH ADDITIVE IN AERATED

CONCRETE PRODUCTION AND ITS EFFECTS

70

SULEYMAN AKPINAR, ATILLA EVCIN, CETIN OZTURK, IBRAHIM AKSEN

DENSITY FUNCTIONAL THEORY STUDY ON THE STRUCTURAL AND

VIBRATIONAL PROPERTIES OF 1 5 DIAMINOPENTANE

71

AYSUN GOZUTOK, AKIF OZBAY

SHEAR STRENGTH PERFORMANCE EVALUATION OF AL CFRP ADHESIVE

BONDED JOINTS WITH VARIOUS SILANE TREATMENTS AT ALUMINUM

SURFACES

72

MUSTAFA OZGUR BORA, ONUR COBAN, TOGAYHAN KUTLUK, ERHAN AKMAN, BELGIN

GENC OZTOPRAK

EVALUATION OF DIFFERENT SURFACE TREATMENT METHODS APPLIED

TO IMPROVE THE CHEMICAL ADHESION MECHANISM OF AL CFRP

ADHESIVE BONDING

73

BELGIN GENC OZTOPRAK, ONUR COBAN, ERHAN AKMAN, MUSTAFA OZGUR

BORA, TOGAYHAN KUTLUK

SURFACE PREPARATION OF THE AL 2024 ALLOY FOR ADHESIVE BONDING

OF AL CFRP USING FIBER LASER TREATMENT

74

ERHAN AKMAN, MUSTAFA OZGUR BORA, ONUR COBAN, BELGIN GENC OZTOPRAK

INVESTIGATION OF TOXIC METAL ADSORPTION PROPERTIES SILICA GEL

SUPPORTED CALIX 4 ARENE DINITRO DERIVATIVE

75

FARABI TEMEL

PT DOPED 8 0 CNT A DFT STUDY OF FURAN DETECTION 76

NUMAN YUKSEL, AHMET KOSE, MEHMET FERDI FELLAH

PRODUCTION OF CORK POLYMER COMPOSITES 77

MEFAIL KOCAL AKTEPE, H AYLIN KARAHAN TOPRAKCI

MACHINABILITY CHARACTERISTICS OF MECHANICALLY ALLOYED

BRONZE MATRIX COMPOSITES DURING TURNING

78

EMIN SALUR, ABDULLAH ASLAN

THE EFFECT OF MECHANICAL ALLOYING PROCESS ON

MICROSTRUCTURAL EVOLUTION AND MECHANICAL PROPERTIES OF

BRONZE MATRIX COMPOSITES

79

EMIN SALUR, ABDULLAH ASLAN

A SHADOW MASK IMPLEMENTATION FOR MEMS SENSORS REQUIRING

FORMATION OF A SENSING LAYER

80

SERDAR TEZ, MEHMET KAYA

DESIGN AND ANALYSIS OF PI CONTROLLER BASED FOUR QUADRANT DC

MOTOR DRIVE WITH BIPOLAR AND UNIPOLAR SWITCHING METHODS

81

KEMAL TUTUNCU, RECAI OZCAN

DESIGN MANUFACTURING AND CONTROL OF MINI SIZE ROTARY SWING

COMPRESSOR

82

KEMAL TUTUNCU, SELMAN TASAR

International Conference on Engineering Technologies (ICENTE’19) xiv


SEGMENTATION OF CAPILLAROSCOPIC IMAGES 83

KEMAL TUTUNCU, MUSTAFA BUBER

INVESTIGATION ON EMISSION CHARACTERISTICS OF A COMMON RAIL

DIESEL ENGINE FUELED WITH JP8 DIESEL FUEL BLENDS

84

HULYA URLU, HASAN AYDOGAN

VIBRATION FATIGUE ANALYSES OF A CANTILEVER BEAM IN

TRANSPORTATION BASED ON MILITARY STANDARD

85

MEHMET SEFA GUMUS, MUHAMMED ARIF SEN, METE KALYONCU

PARALLEL DISASSEMBLY LINES WITH SOME CONSIDERATIONS 86

SEDA HEZER, YAKUP KARA

INVESTIGATION OF EXERGY PERFORMANCE OF FLUIDS USED IN ORC FOR

WASTE HEAT RECOVERY FROM ALUMINUM PRODUCTION PLANTS

87

ALI KAHRAMAN, REMZI SAHIN, SADIK ATA

HYDROGEOCHEMICAL PROPERTIES AND POLLUTABILITY OF NATURAL

WATER RESOURCES IN WEST OF KONYA

88

GULER GOCMEZ, SARAH FAKHRULDDIN AHMED

EVALUATION OF WIND SOLAR HYBRID RENEWABLE ENERGY SYSTEMS

USING LOSS OF POWER SUPPLY PROBABILITY

89

ALPER ECEMIS, HALIL DEMOLLI, MURAT GOKCEK, AHMET SAKIR DOKUZ

COOLING TOWERS DESIGNS AND APPLICATIONS 90

IRFAN UCKAN

AN INVESTIGATION ON ROLL IN FORMATION IN HEMMING OPERATION 91

SELIM GURGEN

SPALL LINER COMPOSITES FOR ARMORED VEHICLES 92

SELIM GURGEN

DESIGN OF SMALL SCALE FIRE EXTINGUISHING ROBOTS FOR

EDUCATIONAL PURPOSES

93

HAKAN TERZIOGLU, ABDULLAH CEM AGACAYAK, GOKHAN YALCIN, SULEYMAN

NESELI

DETERMINATION OF SOME PARAMETERS FOR INFRARED FREE ELECTRON

LASER

94

SUAT OZKORUCUKLU, SERAP YIGIT GEZGIN

IMPROVING THE TRIBOLOGICAL RESISTANCE OF INCONEL 600 ALLOY BY

ELECTRODEPOSITION

95

HARUN MINDIVAN

THE CONTROLLING PARAMETERS EFFICIENCY TO QUALITY IN BISCUIT

PRODUCT PROCESS

96

BEKIR CIRAK, MEHMET ONUR OGULATA, SEZGIN ESER, ONUR SARIKAYA, ABDULLAH

OZDAL

DESIGN AND CONSTRUCTION OF COMPACT CNC ROUTER 97

GOKHAN YALCIN, SULEYMAN NESELI, HAKAN TERZIOGLU, ABDULLAH CEM

AGACAYAK

xv International Conference on Engineering Technologies (ICENTE’19)


INVESTIGATION OF EXHAUST EMISSIONS FROM A DIESEL ENGINE

FUELLED WITH BIODIESEL DIESEL BLENDS

98

ABDULLAH ENGIN OZCELIK, HASAN AYDOGAN, MUSTAFA ACAROGLU, MUBERRA

NUR KILICARSLAN

INVESTIGATION OF VIBRATION EFFECT OF VEHICLE ENGINE ON CHASSIS 99

ABDURRAHMAN KARABULUT, HAKAN SAHMAN, ISA AKKUS

EFFECT OF VEHICLE SPEED AND MASS ON VIBRATION DAMPING 100

ABDURRAHMAN KARABULUT, HAKAN SAHMAN, UMIT CAN

SELECTION OF A THIRD PARTY REVERSE LOGISTICS PROVIDER BASED ON

VIKOR

101

TOLGA GEDIKLI, BEYZANUR CAYIR ERVURAL

COMPUTATIONAL INVESTIGATION OF TURBULENT FLOW IN SINGLE SIDED

BACKWARD FACING STEPS

102

TAHIR KARASU

EFFECTS OF SURFACE ROUGHNESS ON STRENGTH OF ADHESIVE JOINTS 103

ABDULLAH ASLAN, EMIN SALUR, MUSTAFA KUNTOGLU

TAGUCHI BASED OPTIMIZATION IN HIGH SPEED TURNING 104

ABDULLAH ASLAN

A GROUP DECISION MAKING APPROACH UNDER FUZZY ENVIRONMENT

FOR MACHINE TOOL SELECTION

105

BEYZANUR CAYIR ERVURAL

SURVEY OF ENGINEERING STUDENTS COGNITIVE LEVEL OF INDUSTRY 4 0 106

HAKAN SAHMAN, ABDURRAHMAN KARABULUT, MEHMET AKIF SAHMAN, MURAT

KOKLU, KEMAL TUTUNCU

TOOL CONDITION MONITORING WITH SENSOR FUSION IN TURNING AISI

5140

107

MUSTAFA KUNTOGLU, ABDULLAH ASLAN, HACI SAGLAM

A COMBINED FUZZY LOGIC AND OPTIMIZATION APPROACH FOR TOOL

WEAR IN SURFACE MILLING

108

MUSTAFA KUNTOGLU, HACI SAGLAM

INVESTIGATION OF THE COMBINED TLC ORC AND THE COMBINED ORC

ORC POWER SYSTEMS

109

MEHMET OZCELIK, NAGIHAN BILIR SAG

INVESTIGATION OF VELOCITY MEASUREMENTS ON SPILLWAY BY CFD

MODELING

110

OZNUR KOCAER, ALPASLAN YARAR

EFFECT OF GLASS FIBER ADDITIVE ON SOIL STRENGTH PROPERTIES OF

HIGH PLASTICITY CLAY SOILS

111

SEHNAZ AYSU, MUSTAFA YILDIZ

International Conference on Engineering Technologies (ICENTE’19) xvi


INVESTIGATION OF STRENGTH PROPERTIES OF DIFFERENT CEMENT

TYPES ON SANDY SOIL

112

ALICAN SENKAYA, MURAT OLGUN

PERMEABILITY AND COMPACTION PROPERTIES OF RECYCLED CONCRETE

AGGREGATES AS GRANULAR ROAD BASE AND SUB BASE

113

MURAT OLGUN, EKREM BURAK TOKA

PHYSICAL PROPERTIES OF RECYCLED CONCRETE AGGREGATES AS

GRANULAR ROAD BASE AND SUB BASE MATERIAL

114

EKREM BURAK TOKA, MURAT OLGUN

STABILITY OF LAYERED CYLINDRICAL SHELLS WITH FGM INTERLAYER

SUBJECTED TO COMBINED LOAD UNDER MIXED BOUNDARY CONDITIONS

115

R P BAYRAMOV, A H SOFIYEV, F DIKMEN

EXPERIMENT INVESTIGATION OF INTERNET USE OF OBJECTS IN FIRE

DETECTION AND EXTINGUISHING SYSTEMS

116

OMAR YAWEZ MUSTAFA MUSTAFA, MUSTAFA ALTIN

INVESTIGATION OF FLUID STRUCTURE INTERACTION WITH THE

COUPLING OF SPH AND FEM

117

A ERSIN DINCER, ABDULLAH DEMIR

DECISION PARAMETERS SUPPLIED BY MINING ENGINEERING STUDENTS

ARE THEY CREATIVE

118

MEHMET KEMAL GOKAY

ASSESSING THE SHEAR STRENGTH REDUCTION FACTOR IN GEOPOLYMER

CONCRETE BEAMS WITHOUT STIRRUPS

119

MEHDI OZTURK, GURAY ARSLAN, SEMA ALACALI

EVALUATION OF THE F2 PEAK PARAMETER HMF2 PREDICTION

PERFORMANCE OF IRI 2016 MODEL

120

SALIH ALCAY

BENEFITS OF MICRO SCALE DEFORMATION DETECTION 121

MEHMET UZBAS, MEHMET KEMAL GOKAY

INVESTIGATION OF THE STABILITY EFFECT OF TIME INTEGRATION

METHODS IN FLUID STRUCTURE INTERACTION PROBLEMS

122

ABDULLAH DEMIR, A ERSIN DINCER

LANDSAT IMAGERY AND GIS BASED EVALUATION AND MONITORING

DESERTIFICATION PROCESS SURROUNDING KIRKUK CITY IRAQ

123

SUZAN ATA BAKR KAMALADIN F. HASAN, QAYSSAR MAHMOOD AJAJ

1 International Conference on Engineering Technologies (ICENTE’19)


ADVANCES IN OPTICAL AMPLIFICATION TECHNOLOGIES FOR HIGH

CAPACITY FIBER OPTICAL TRANSMISSION SYSTEMS

JURGIS PORINS1

1 Riga Technical University, Riga, Latvia

ABSTRACT

Increasing volume of transmitted data per channel in today’s fiber optic transmission systems (FOTS) brings up a

necessity for greater optical capacities and higher output powers. It is difficult to satisfy those requirements with a

conventional erbium-doped fiber amplifier (EDFA) because of its limited bandwidth and noise characteristics.

Therefore, one of the strategic directions for optical network resources optimization and efficiency improvement

is design of new-type optical amplifiers, which would ensure larger output power, as well as increase the range of

amplification wavelength [1], [2], [3]. One of the promising solutions in this area is the combination of erbium-

doped silica fibers and fibers with other rare-earth dopants such as ytterbium (Yb3+) and thulium (Tm3+) because

of their beneficial spectroscopic characteristics. Yb3+ has a larger absorption cross section than erbium and wider

range of possible pump wavelengths (800, 915, 940, 975, and 1060 nm) while thulium emission wavelengths of

1460 and 1650 make it suitable for amplification in S frequency band [4]. In this talk, physical layer options such

as integration of new type optical fibers and combined rare-earth doped optical amplifiers (REDFA) are reviewed

according to their potential to reduce an impact of nonlinear effects and broaden spectral band respectively.

International Conference on Engineering Technologies (ICENTE’19) 2


TRY ON OF VIRTUAL GARMENTS ON VIRTUAL BODIES

TZVETOMIR VASSILEV1

1 University Of Ruse, Ruse, Bulgaria

ABSTRACT

This paper describes a virtual try on (VTO) system which dresses a virtual human body, acquired via a 3D

scanner, with digitized garments, represented by their garment panels and seaming information. The cloth is

physically simulated with a mass-spring system using a velocity modification approach to overcome super

elasticity. The cloth-body collision detection is based on image space tests with pre-generated depth and normal

maps, used for collision detection and response. The system also checks for collisions between layers of cloth, in

case the body is dressed in several garments, using the same image space approach with several maps generated.

The simulation is implemented entirely on the graphics processing unit (GPU) which significantly accelerates the

computations. As the results show a body can be dressed in a garment in a fraction of a second. The paper also

discusses how the simulation can be implemented on a mobile device.

KEYWORDS - Virtual try-on, cloth simulation, General purpose GPU programming, Collision detection, Mobile

computing.



SEMI AUTOMATIC CARDIAC VECTOR AND ANGLE CALCULATOR

DEVELOPMENT

ATAKAN ISIK1 , MEHEMT FEYZI AKSAHIN2

1 Department Of Biomedical Engineering Baskent Universitiy Engineering Faculty Ankara, Turkey

2 Department Of Biomedical Engineering Baskent Universitiy Engineering Faculty Ankara, Turkey

ABSTRACT

One of the important diagnostic data in ECG is determining Heart axial vector. This vector can help doctors to

diagnose a disease or to state the heart’s medical condition from electrical signals. However, determine these

vectors have some difficulties like drawing and calculating QRS or any other important regions like S-T on the

ECG paper. This is also a very long process. Besides during the process, there is a high possibility to make

mistakes by human hand. To shorten this process and at the same time to avoid the mistakes by human hand

during the measuring and calculating heart vectors, we approached via image processing techniques and designed

a Python-based Graphical User Interface. The program was designed manually calibrating-globally usable. We

aim to make this process short and more reliable. This program can measure the distance between two dots that

the user has determined on ECG papers and according to data program can calculate the aVf, aVl, aVr and Lead 1

deviations’ heart axis and their angle. Thus, the user can measure any region on these deviations mathematically

and calculating the heart vectors from these deviations. We analyze ECG Papers from real patients by the program

and by hand. As a result, the recorded data are correlated with high accuracy.

KEYWORDS - ECG, GUI, Biomedical, Image Processing, Cardiac Axes



REVERSIBLE DISULFIDE FUNCTIONALIZATION OF PEGYLATED

CHITOSAN BASED HYDROGELS SCAFFOLDS FOR SELECTIVE THIOL

IMMOBILIZATION AND RELEASE

MEHMET ARSLAN1

1 Yalova University, Turkey

ABSTRACT

Novel PEGylated chitosan-based hydrogel scaffolds incorporating reversible thiol anchoring groups were

fabricated. A novel mercaptobenzothiazole based disufide containing methacrylic monomer was synthesized and

utilized in gel formation along with O- poly(ethylene) glycol modified chitosan. Hydrogel formation was

established via amine-Michael addition of chitosan amino groups onto methacrylic disulphide monomer and PEG

diacrylate crosslinker. A series of hydrogel incorporating various degree of functional disulfide groups were

synthesized. The resulting hydrogels were characterized by equilibrium swelling, structural morphology and

rheology. These materials were investigated as reversible thiol immobilization platforms by conjugating thiol-

bearing compounds onto network-embedded disulphide groups. These hydrogels combined efficient crosslinking

and functional disulfide incorporation into clinically important chitosan scaffold and might serve as reactive

platforms for reversible conjugation of thiol-bearing molecules.

KEYWORDS - Hydrogels, thiol-disulfide exchange, biofunctionalization, chitosan-based biomaterials.



BLOOD GLUCOSE CONTROL ALGORITHMS AND EXPLANATION OF

INSULIN AND CARBOHYDRATE MECHANISMS FOR TYPE 1 DIABETES

MELLITUS

NIHAT CANKAYA1 , OMER AYDOGDU2

1 Necmettin Erbakan University, Turkey

2 Konya Technical University, Turkey

ABSTRACT

There are approximately 50 million Type 1 Diabetes Mellitus (T1DM) patients in the world. All of these patients

need external insulin injection. Because this disease is an autoimmune disease, the best treatment foreseen in the

short and medium term is insulin supplementation. With proper insulin administration, T1DM patients can lead a

near-normal life. Artificial pancreas is the most accurate way to administer correct insulin. Therefore, artificial

pancreas studies are gaining speed. Artificial pancreas systems deliver insulin with a closed-loop control system

according to blood glucose value from continuous glucose monitoring system and food intake. In use of artificial

pancreas; it is very important to model carbohydrate and insulin mechanism correctly, to determine metabolic

parameters of the patients and to develop an algorithm suitable for the regulation of blood glucose. It is one of the

most important parameters for good blood glucose management that a thorough understanding of insulin and

carbohydrate mechanisms for patients, relatives and physicians. But, the mechanisms of insulin and carbohydrates

involve differential equations. Therefore, they are not easy to understand for people who do not have a certain

level of mathematical knowledge. T1DM patients, their parents or physicians do not have to know high

mathematics and often do not. Therefore, the mathematical models used are far from these people. However, the

fact that both patients and physicians know and actively use these models increases the effectiveness of blood

glucose management. In this study, in order to provide an easy understanding of the mechanism of insulin and

carbohydrate, these mechanisms were exemplified on PIMF function which was a MATLAB function. Through

this model; the mechanism of insulin and its effect on blood glucose, carbohydrate mechanism and its effect on

blood glucose were explained. In addition, the correct overlap of these two mechanisms was expressed

mathematically. Hypoglycemia and hyperglycemia status estimation related to the change in blood glucose value

were explained. Insulin and carbohydrate mechanisms have been tried to be expressed in a simple way for

physicians, patients and their relatives to use without having to know high mathematics.

KEYWORDS - Carbohydrate, Insulin, Mathematical Models, T1DM



BIOMEDICAL APPLICATIONS OF COLLAGEN

GULSUM TIRAS1 , AHMET ERHARMAN2 , ESMA ERYILMAZ3

1 Selcuk University, Turkey

2 Selcuk University, Turkey 3 Selcuk University, Turkey

ABSTRACT

Collagen is one of the most common biomaterials. It is perfectly biologically compatible and safe, because of its

variety of properties such as biodegradability, poor antigenicity, and self-aggregation. Collagen has also ability of

forming extra-strength fibers with cross-linking between molecules. Collagens are used in many different forms

such as sponges, mini-pellets, shields, gel formulation as well as in many drug delivery systems including skin

replacement, artificial blood vessels, bone substitutes and valves. Thus, we discussed, in this article, different

applications of collagen in biomedical sciences. These properties make collagens a primary source for medical

applications.

KEYWORDS - Collagen, Beiomedical, Drug Delivery, Biomaterial



A MICRO SCALE BIOSENSOR FOR THE DETECTION OF BACILLUS

STEAROTHERMOPHILUS SPORE GERMINATION

MUSTAFA ILKER BEYAZ1 , AISSA SEKKOUTI2

1 Antalya Bilim University, Turkey 2 Antalya Bilim University, Turkey

ABSTRACT

Germination of Bacillus Stearothermophilus bacterial spores is being used as a marker in sterilization monitoring

systems to verify the success of sterilization processes in healthcare facilities. Such systems mainly employ

optical detection techniques that are expensive and time consuming. This work presents the first micro-scale

biosensing platform that is capable of detecting this specific spore germination through impedance measurements.

Starting from theoretical calculations on ion concentrations, a simulation model is built on COMSOL software to

analyze the conductance change of the medium during germination. It has been demonstrated that even 1%

germination ion yield results in a 5-fold drop in germinant solution resistance, reaching up to more than two

orders of magnitude decrease when the spores are fully germinated. A microfluidic biosensor consisting of

interdigitated electrodes was designed, and a fabrication approach has been presented. This device, when fully

fabricated, poses an inexpensive solution that can provide sterilization verification results in under 10 minutes.

KEYWORDS - Biosensor, Impedance, MEMS, Lab on a chip, Germination



LYAPUNOV EXPONENTS AS A STATISTICAL TEST TOOL

YILMAZ AYDIN1, FATİH ÖZKAYNAK2

1 Fırat University, Elazığ, Turkey 2 Fırat University, Elazığ, Turkey

ABSTRACT

One of the application areas of chaotic systems is chaos based cryptography studies. Many design studies have

been proposed using the relationship between chaos and cryptography. In this study, it has been shown that this

relationship can be used in cryptanalysis of cryptographic designs. The usability of chaos analysis methods in the

analysis of cryptographic protocols has been investigated. Lyapunov exponents, which are a chaos analysis

method, have been used to measure the quality of random number generators. The analysis results showed that

Lyapunov exponents can be used as a criterion in the evaluation of random number generators.

KEYWORDS - Cryptanalysis, Random Number Generator, Lyapunov Exponent, Chaos, Cryptography.



A NEW METHOD FOR PERFORMANCE IMPROVEMENT OF CHAOTIC

S-BOX STRUCTURES

YAŞAR SELİM BAHÇECİ1, FATİH ÖZKAYNAK2

1 Fırat University, Elazığ, Turkey 2 Fırat University, Elazığ, Turkey

ABSTRACT

In cryptographical protocol design, substitution boxes have an important place. One common method for creating

substitution boxes is random selection based designs. Chaos-based designs are the most effective method in the

literature for random selection. In this paper, it is aimed to improve performance of chaos based substitution box

designs by using new methods. Nonlinearity is one of the most prominent features used as performance

measurement in substitution boxes. It is aimed to improve the nonlinear criterion with the proposed method.

KEYWORDS – Chaos, Cryptography, S-Box, Nonlinearity



FEATURE SELECTION FROM ELECTROENCEPHALOGRAM SIGNALS BY

MEANS OF USING PRINCIPAL COMPONENT ANALYSIS

SEMA YILDIRIM1 , HASAN ERDINC KOCER2

1 Graduate School of Natural Sciences, Turkey

2 Department of Electrical and Electronics Engineering, Turkey

ABSTRACT

The aim of this study is to determine the success of the feature vector (FV) that was obtained by a variety of

feature extraction methods and the success of the eigenvalues that were obtained by Principal Component

Analysis (PCA). EEG signals (EEGs) that were collected retrospectively from Selcuk University Faculty of

Medicine Hospital were used in this study. Feature vector was obtained from 30 epilepsy patients and 30 normal

via statistical methods and discrete wavelet transform (DWT). Dimensions of these feature vectors were reduced

via Principal Component Analysis (PCA) method. Four eigenvectors with the highest relationship that include 71,

52, 33 and 15 according to PCA correlation matrix were included in the study. The performances of the

eigenvectors were calculated and compared using an Artificial Neural Network (ANN). Performance evaluation of

the used ANN algorithm were carried out by performing Receiver Operation Characteristic (ROC) analysis.

Experimental results have shown that eigenvector 3 (EV3) including 33 features is more successful than the other

feature vector and eigenvectors with 93.67% training and 88.30% test. Furthermore, the performance of all

eigenvectors was observed to be higher than the performance of the feature vector. As a consequence, the use of

more meaningful eigenvectors improves the classification performance instead of high-dimensional feature

vectors.

KEYWORDS - Electroencephalogram, Discrete Wavelet Transforms, Principal Component Analysis, Artificial

Neural Network, epilepsy.



ANALYSING RESTING STATE FUNCTIONAL MRI USING DYNAMIC

CAUSAL MODELING IN SCHIZOPHRENIA

GUZIN OZMEN1 , BURAK YILMAZ2


2 Konya Food and Agriculture University, Turkey

ABSTRACT

Schizophrenia; is one of the most important psychiatric diseases which affect the daily life negatively and cause

disruption in emotion and behavior. Functional MRI studies have shown that there are differences between

schizophrenia patients and healthy individuals. In this study, effective brain connectivity of a schizophrenic

patient and a healthy person of the same age were analyzed with functional MRI. Spatial preprocessing steps were

applied to the resting-state data used for this purpose and dynamic causal modeling analysis was performed. At

the analysis stage, effective connectivity between the medial prefrontal cortex, posterior cingulate cortex, right

inferior parietal lobe and left parietal inferior lobe were investigated. According to the analysis, it was observed

that effective connectivity was increased between the medial prefrontal cortex and right IPL regions in a

schizophrenic patient

KEYWORDS - Schizophrenia, Fmri, Resting-State, Effective



WEIGHTED 3D DWT BASED DENOISING ON BRAIN MRI

APPLICATIONS WITH SIMULATED AND REAL MS MRI

GUZIN OZMEN1 , BURAK YILMAZ2



ABSTRACT

Multiple sclerosis (MS) is defined as a severe, chronic, persistent inflammatory demyelinating disease that occurs

in the central nervous system. When working on MRI images, all techniques may not always achieve the desired

performance because there are some special cases of brain MRI images. The most important parameter in MS

diagnosis is the identification and visualization of plaques, which can be determined with precise accuracy thanks

to MRI. Because of all these benefits of the MRI, it is mandatory to use MRI in MS diagnosis. Generally, MRI

images contain extra noise data which adversely affects MS diagnosis. In this study, the Weighted-3D-DWT

technique is used to suppress the effects of the noise while protecting the plaque data. To apply the proposed

algorithm to 3D brain images, high and low-frequency sub-bands of the images are obtained by 3D discrete

wavelet decomposition. For this purpose 3D volumes are decomposed by 3D-DWT. Then the energy value of the

original image and sub-bands are calculated. The weight factor is obtained by dividing the energy of the sub-band

to the energy of the original image. Each sub-band is multiplied with their weight. Finally, the denoised volume is

reconstructed from the weighted 8 sub-bands. In this study, the performance of denoising algorithms was

evaluated by using Mean Square Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity

Index (SSIM) which are used in image denoising assessments in literature. The results were compared with the

Median filter and the Gaussian filter. As a result, we have obtained 0.0698 MSE value with Median Filter and

0.0608 MSE with Gaussian Filter. Also, w-3D-DWT provided 0.0279 MSE with 66.01 PSNR and 0.9982 SSIM

for % 9 noise simulated MS MRI. Moreover, while maintaining the plaques in the brain w-3D-DWT gave the

lowest MSE with 0.0036 and the highest PSNR with 75.514 for the real MS MRI.

KEYWORDS - MS, Weighted-3D-DWT, Denoising



BRAIN ATLAS REGISTIRATION WITH OPTIMIZATION ALGORITHMS

BURAK YILMAZ1 , GUZIN OZMEN2


2 Konya Selcuk University, Turkey

ABSTRACT

A variety of methods have been developed to provide standardization in both density and form in the processing

and analysis of biomedical images. One of these methods is to register images to atlases or standard models. By

registering biomedical images, it is possible to determine how much the tissue under examination conforms to the

anatomical model or the amount of deterioration. In the literature, there are different image registration algorithms

based on various methods, the algorithm developed in this study is designed to be based on non-rigid, affine

transformation. Also optimization methods used for determining the conversion parameters. The algorithm has

been developed to use both shape properties and density properties at the same time. In order to provide maximum

correlation between the input image and the atlas, both images were processed with Cellular Artificial Neural

Networks to reveal basic shape properties. The method was tested and compared with 3 different optimization

algorithms.

KEYWORDS - Optimization, Affine Transform, Cellular Neural Networks, Biomedical Image Registration



FRACTURE TOUGHNESS AS A KEY ASPECT OF BONE FRACTURE

RESISTANCE

MUSTAFA UNAL1

1 Karamanoglu Mehmetbey University, Turkey

ABSTRACT

Bone fractures are among the biggest health concerns in the world. Understanding the factors leading to bone

fracture is the essential step to develop new strategies for dealing with this costly and deadly health problem.

Studies published in recent years highlighted that all bone fractures are not only associated with low bone

strength. In fact, fracture toughness, which is the material property focusing of resistance of the material to sudden

and unstable growth of cracks, is an emerging field in bone research to better understand bone fragility associated

with diseases and aging. Fracture toughness may be more closely associated with hip fractures and atypical

femoral fractures which are two of the most common of bone fractures seen in the clinics. In this study, the

possible association between fracture toughness and bone fractures was discussed in light of recently emerged

studies.

KEYWORDS - Bone Biomechanics, Mechanical Properties , Fracture Toughness, Bone fracture



IMPLEMENTATION AND PERFORMANCE OF SORTING ALGORITHMS

IN TERMS OF TIME AND SPACE ON INTEL CORE I7 TM PROCESSOR

BY USING C JAVA PYTHON AND PHP AS A PROGRAMMING

LANGUAGE

ELISSA MOLLAKUQE1 , MENTOR HAMITI2 , VESA MOLLAKUQE3

1 SS Cyrili And Methodius, Macedonia

2 Seeu, Macedonia 3 Mother Tereza Univeristy, Macedonia

ABSTRACT

Data sorting is the placement of data in a particular way, such as ascending or descending. It is one of the most

important computing applications. Data sorting is an intriguing problem that has attracted an enormous research

effort. Sorting algorithms are efficient algorithms that perform an important task by putting the elements of a list

in a particular order or in a particular order. With the advent of computing, many data sets were born which then

revealed many complexities about sorting and research problems. In 1956 came the first tests for sorting

algorithms - bubble sort algorithm. The first algorithms had low capacities and used object comparison to meet the

basic requirements of the form O (n log n) - some sequences were treated as inputs multiplying by n log n

comparisons.

KEYWORDS - Performaces, Sorting, Algoithms, Data, Time Complexity And Space Complexity



HOURLY DAILY AND MONTHLY ANALYSIS OF BIG DATASET OF

BITCOIN BLOCKS

AHMET SAKIR DOKUZ1 , ALPER ECEMIS2 , METE CELIK3

1 Nigde Omer Halisdemir Universtiy, Turkey 2 Nigde Omer Halisdemir Universtiy, Turkey

3 Erciyes University, Turkey

ABSTRACT

Recently, BlockChain network protocol is proposed for safer and more transparent communication among the

peers of the networks. Bitcoin is one of the popular application of BlockChain that provide anonymity,

traceability, and crowdsourcing based security to the network peers. The increasing attention in Bitcoin led wind

range of usage over financial and investment domains, and the usage frequency end up a big dataset of Bitcoin

transactions. In this study, we analyzed Bitcoin blocks data to answer what is the daily, weekly or monthly trends

of Bitcoin transactions of dataset. The answers to these questions would provide better understanding of Bitcoin

transactions and their USD value, and would become a more reliable investment option. The experimental results

show that Bitcoin transactions have different characteristics on hourly, daily, and monthly scales.

KEYWORDS - Blockchain, Bitcoin Analysis, Hourly Daily and Monthly Analyses, Bitcoin Big Data, Data

Mining



DATA CLUSTERING WITH BAT ALGORITHM USING BENCHMARK

DATASETS

MINA ARJAMAND FADHIL1 , GULAY TEZEL2

1 Konya Technical University, Turkey 2 Konya Technical University, Turkey

ABSTRACT

Clustering is the assignment of separating the element of population or data points by employing unsupervised

learning methods. Clustering methods are usually used as a first step in analyzing a problem. The purpose of

clustering process is to separate groups with similar behaviors and allocate them into clusters. It is important to

find the best cluster centers among the data. In literature there are different clustering algorithms but optimization

algorithms were preferred for clustering problems, recently. Bat Algorithm is a successful metaheuristics

optimization algorithm and mostly preferred for discrete optimization problems. In this study, Bat Algorithm was

used for clustering problems. The performance of bat algorithm is investigated using four benchmark datasets (Iris

datasets, Wine datasets, Tae datasets and Wbc datasets) obtained from UCI Machine Learning. Sum of Squared

Error (SSE) and Rand Index were used to measure the performance of algorithm according to the datasets. The

best performance was obtained with Iris and Wbc Datasets.

KEYWORDS - Clustering, Bat Algorithm, Metaheuristis.



AN ENHANCED FIREFLY ALGORITHM WITH OPPOSITION BASED

LEARNING

TAHIR SAG1 , AHMET OZKIS2 , SELAHATTIN ALAN3


2 Necmettin Erbakan University, Turkey 3 Selcuk University, Turkey

ABSTRACT

This paper presents a modified Firefly algorithm (FA) improved with the opposition-based learning (OBL)

method. OBL has an attractive interest in the field of metaheuristic optimization. OBL methods provide a rapid

convergence to global optima without tackling local extrema. On the other hand, FA is an exclusive algorithm,

which is inspired from the behaviors of fireflies. In this study, the Type-I OBL method is added to FA at two-

phase and the modified version of FA is named as OBL-FA. Four well-known test problems were used to evaluate

the performance. The effect of OBL methods on the FA algorithm is investigated and the results show that the

proposed method has been achieved superior values than the original version of FA.

KEYWORDS - OBL, FA, Optimization.



VOIP NETWORK SECURITY ISSUES VIA LAYERED ARCHITECTURE

SEVKI GANI SANLIOZ1 , MUHAMMED ALI AYDIN2

1 Hezârfen Aeronautics and Space Technologies Institute, National Defense University, Turkey

2 Istanbul University, Turkey

ABSTRACT

In this study, the structure of VOIP technology, it’s logic, protocols and the vulnerabilities are reviewed within the

layered architecture. Internet Protocol VoIP security issues, which are analyzed in five layers over the Stack

architecture, are handled separately in each layer. Various vulnerabilities of VOIP security, from the physical

layer to the application layer, are detailed and the possible security measures against these vulnerabilities are

presented.

KEYWORDS - VoIP, SIP, RTP, Layered Architecture, VoIP Countermeasures.



TIME SERIES ANALYSIS WITH DEEP LEARNING APPROACHES FOR

REMAINING USEFUL LIFE PREDICTION

CEREN NUR BAS1 , OZLEM DURMAZ INCEL2

1 Galatasaray University, Turkey 2 Galatasaray University, Turkey

ABSTRACT

Industry 4.0, which has recently become very popular, is a term used for data exchange and automation for

production technologies. The manufacturing industry produces a large amount of data which can be used to

improve processes and product quality. Analyzing time series data collected from multiple sensors can provide

information for active preventive maintenance, which is essential for the sustainability of the factories and

automation. Therefore, in this paper, we focus on the prediction of remaining useful life of a machine and

proposed a prediction model using a deep learning approach. We perform our experiments on PRONOSTIA

dataset, which consist of run-to-failure bearing sensor data. Features, such as mean, kurtosis, skewness, standard

deviation, root mean square, crest factor, variance, are extracted from this dataset. Also, health indicator values

are calculated to determine the remaining useful life of the bearings. We construct the remaining useful life

prediction model, particularly using the LSTM (long-short-term memory) neural network. Finally, we compare

the results of our model with the results of previous studies on this dataset. Our results are underperformed from

other studies. This dataset is not directly applicable for LSTM network and preprocessing needs high effort.

KEYWORDS - Long-Short Term Memory, Deep Learning, Remaining Useful Life, Active Preventive

Maintenance.



SECURITY FEATURES OF ACORN AND ASCON AS COMPETITION FOR

AUTHENTICATED ENCRYPTION SECURITY APPLICABILITY AND

ROBUSTNESS CAESAR

ELISSA MOLLAKUQE1 , VESNA DIMITROVA2

1 SS Cyrili and Methodius, Macedonia 2 SS Cyrili and Methodius, Macedonia

ABSTRACT

CAESAR: Competition for Authenticated Encryption: Security, Applicability, and Robustness is now calling for

submissions of authenticated ciphers. This competition follows a long tradition of focused competitions in secret-

key cryptography[7]. CAESAR competition aims at finding authenticated encryption schemes that offer

advantages and those schemes will give us more security. CAESAR tries to identify a portfolio of authenticated

ciphers that [7] offer advantages over AES-GCM and [7] are suitable for widespread adoption. Now CESAR is

organized into three use cases: Lightweight applications (resource-constrained environments), High-performance

applications and Defense in depth. Candidates of this use case give different advantages depends on designs –

block-cipher, stream cipher, functions and so on. This paper will give some characteristics of ACORN v1

ACORN v2, ACORN v3, and ASCON v1, ASCON v1.1 and ASCON v1.2by comparing security aspects.

KEYWORDS - Caesar, acorn, ascon, encryption, decryption and authenticated.



A DIFFERENT APPROACH TO FEATURE SELECTION WITH APRIORI

ALGORITHM

HAVVA CETINER ALTIPARMAK1 , ONUR INAN2

1 Kuveyt Turk Participation Bank, Turkey


ABSTRACT

The rapid development of technology facilitates the recording of many transactions in digital environments and

the storage of recorded data, while at the same time accelerating access to data. In business life, these data are

used when making future decisions and analyzing the current situation. The data that are stored in the computer

environment can be evaluated by means of data mining. In this article, the association rules were applied on

Breast Cancer, Vote, Spect_test data sets obtained from UCI Machine Learning Store, the results were analyzed

and a method and application about the selection of qualified properties which had the most effect on the

classification were explained and the algorithm details related to the application were explained. After the

classification procedures performed on the data set with association algorithms, accuracy rates increased by 12.79

in Breast Cancer, 1.32 in Vote and 7.14% in Spect. Thus, more effective working on smaller data sets is provided.

KEYWORDS - Data Mining, Association Rules, Apriori Algorithm, Feature Selection



A REVIEW OF WEB USER BEHAVIOR STUDIES

RIDVAN SARACOGLU1 , MOHAMMED MAHMOOD QADER2

1 Van Yuzuncu Yil University, Turkey

2 Van Yuzuncu Yil University, Iraq

ABSTRACT

Any web site logs action of its user in a file. This helpful information assists us to analyze the behavior of user.

Analyzing the behavior of user makes a great opportunity for Web site to predict the behavior of its user in future

sessions. In this study a brief of studies related with user behavior in literature was given. It is also given a

classification of these studies. This information will provide a basis for future studies.

KEYWORDS - Web log, web mining, Web user behavior



SHORT TERM ELECTRICAL LOAD FORECASTING USING ARTIFICIAL

NEURAL NETWORK

VILDAN EVREN1 , ILKER ALI OZKAN2


2 Computer Engineering Department Faculty of Technology, Selcuk University, Konya, Turkey

ABSTRACT

In the efficient operation of power systems and future planning, electrical load forecasting is very important. Load

forecasting is based on the estimation of future electrical load by examining past conditions. Estimates from a few

minutes to a day are called short-term forecasts. Short-term load forecasting has a decisive role in the load sharing

of power plants. It also enables to overcome the deficiencies caused by sudden load increases and power plant

losses. Weather conditions are effective in the short-term electrical load forecasting. Daily or hourly electricity

consumption data are generally used for short-term load estimation. The last three years of daily electrical energy

consumption data of Turkey used in this study. Days were categorized according to the seasons. And past

electrical load values, as well as temperature values, were used to improve forecasting accuracy. In this study, a

short-term electric load estimation model has been developed by using Artificial Neural Networks (ANN). The

results obtained with this model were examined by statistical methods and it was found that this model has a good

electrical load estimation performance.

KEYWORDS - Short-term electrical load forecast, Artificial Neural Network, Predicition Model



AN APPLICATION TO PROVIDE RADIO CONTROL WITH VOICE

COMMANDS FOR VISUAL IMPAIRED INDIVIDUALS

SAKIR TASDEMIR1 , EMRE AVUCLU2 , BURAK TEZCAN3


2 Aksaray University, Turkey 3 Selcuk University, Turkey

ABSTRACT

Using technology, we can control many things in our lives. Our life has become more comfortable with

technology. Some situations that were previously difficult to manage thanks to technology have become much

more practical. The use of technology has made life easier especially for people with disabilities in many areas. In

this study, a radio program was developed for individuals with disabilities to listen to radio via voice commands

over the internet. This application was developed to address the needs of people who cannot listen to music on

their own due to any disability. The application was implemented in C# programming language. In order to

manage the radio program with voice commands, voice recognition libraries were first used. In the application

developed, the desired radio can be listened over the internet without using keyboard and mouse.

KEYWORDS - Voice recognition, Radio program, Visually impaired individuals



CHEST X RAY IMAGE DENOISING BASED ON CONVOLUTIONAL

DENOISING AUTOENCODER

MOHAMMED IBRAHIM1 , SAIT ALI UYMAZ2


ABSTRACT

Nowadays, medical imaging plays important role in medical settings to obtain high resolution images for the

human body. The medical imaging techniques usually suffer from many types of noises such as gaussian, salt and

pepper and speckle noises. So, getting a high-resolution body image is so difficult. The accurate medical images is

necessary for diagnosis of many diseases. In this paper, medical imaging denoising technique based on

convolutional denoising autoencoder is proposed. The NIH chest X-Ray dataset has been used for the training and

testing of the proposed model. The model consists of 10 layers to learn the representation of the noise in the image

and then reconstruct a new image without the noise. The model performance evaluated by using mean squared

error and peak signal to noise ratio. For the training purpose we added gaussian noise to the dataset. The total

number of images used is 25,000 splitted into training set 22,500 images and testing set 2500 images. The model

achieved excellent results on the testing set with 0.01 mean squared error.

KEYWORDS - Image Filtering, Image Processing, Deep Learning, Convolutional Neural Networks, Autoencoder.



MODERN APPROACHES TO THE APPLICATION OF MACHINE

LEARNING AND DATA MINING METHODS IN THE HEALTHCARE

INDUSTRY

ADEM ALPASLAN ALTUN1 , SONA CAGLAR2 , ANAR TAGHIYEV3


2 Department of Health, Turkey 3 Selcuk University, Turkey

ABSTRACT

In recent decades, the amount of data has grown exponentially in various sectors, especially in the healthcare

industry. Extracting hidden value from such massive medical data has become one of the most relevant topics for

both industry and academia. Healthcare institutions are faced with the need to process big medical data at an

increasing rate. Today's demands on the volume of data processed and the speed at which it is processed are such

that the processes need to be almost fully automated. These requirements apply not only to direct digital

processing, but also to procedures for setting up, adapting and even building appropriate quantitative models.

Traditionally used models in the health care industry have been combined with new computational methods,

which are referred to as machine learning and data mining. The article provides an overview of the current state of

research in this field. Our goal is to classify modern methods of analysis applicable in the healthcare industry.

Description of models for comparing the effectiveness of its various methods. This article presents the

classification of modern methods of machine learning and data intellectual analysis used in health care. Models

that use machine-learning procedures and hybrid models that use combined methods can provide the level of

efficiency required in modern healthcare.

KEYWORDS - Big Data Technology, Machine Learning, Data Mining, Healthcare



INFORMATION EXPLOITATION AND DIGITAL PIRACY

ARTAN LUMA1 , BLERTON ABAZI2 , MUHAMET GERVALLA3 , AZIR ALIU4 , HALIL SNOPCE5

1 South East European University, Macedonia

2 University For Business And Technology, Albania 3 University For Business And Technology, Albania

4 South East European University, Macedonia 5 South East European University, Macedonia

ABSTRACT

Data is one of the most important things today and their value can not be measured, they can reinforce a business,

drive new ideas, create opportunities, increase productivity etc, but in bad hands, data can be very critical and

dangerous to the person who pronounces it, so everyone who keeps them online must take care of them. Here is

discussed data, piracy, piracy impact, data disclosure, offensive technologies, defense technologies, preventive

methods, familiar terms for computer engineers and, in general, exploitation art, art and most importantly, defense

and war for their safety.

KEYWORDS - Data, Information Systems, Piracy, Exploatation



INFORMATION SECURITY AND PRIVACY ON INTERNET OF THINGS

BLERTON ABAZI1 , ARTAN LUMA2 , MUHAMET GERVALLA3 , HALIL SNOPCE4 , AZIR ALIU5

1 University For Business And Technology, Albania

2 South East European University, Macedonia 3 University For Business And Technology, Albania

4 South East European University, Macedonia 5 South East European University, Macedonia

ABSTRACT

Privacy is defined as the right to be relieved of supervision and to determine when and for which personal or

organizational information should be disclosed. Companies such as Facebook have privacy policies and can

protect your privacy from external intruders, but what are they doing with your information and with whom are

you sharing? Similarly, large corporations can have secure networks to protect themselves from hackers and other

criminals online, but what are they doing with your information and with whom are you sharing?

KEYWORDS - IoT, Security, Privacy, Cyber Attacks, Information Security



SKIN DISEASE CLASSIFICATION USING CONVOLUTIONAL NEURAL

NETWORKS

ALI QUTUB1 , ISMAIL SARITAS2


ABSTRACT

In this paper, briefly explains the approach. The LMU team will produce estimates for Task 3 (Disease

Classification). The score we obtained in the 2018 ISIC validation set of the 2018 ISIC Challenge was 0.881

balanced precision. Skin cancer, the most common human malignancy is diagnosed visually by starting the first

clinical screening and possibly potentially by dermoscopic analysis, biopsy and histopathological examination.

Automatic classification of skin lesions using images is a challenging task due to the fine-grained variability in the

appearance of skin lesions. Deep convolutional neural networks (CNNs) show potential for general and highly

variable tasks in many fine-grained object categories. Here, we have demonstrated the classification of skin

lesions using a single CNN, trained thoroughly from direct images, using only pixels and disease labels as inputs.

We train CNN using 129,450 clinical picture data sets (two larger sizes12 larger than the previous data sets) of

2,032 different diseases.

KEYWORDS - Skin Disease, Classification , Neural Networks,CNN.



COMPARISON THE PERFORMANCE OF CLASSIFICATION

ALGORITHMS ON INTRUSION DETECTION SYSTEMS

MOHAMMED HUSSEIN IBRAHIM1, MEHMET HACIBEYOGLU2

1 Department of Computer Engineering, Necmettin Erbakan University, Turkey

2 Department of Computer Engineering, Necmettin Erbakan University, Turkey

ABSTRACT

Intrusion detection systems are security systems against attacks commonly used in internet technology and

computer networks. The purpose of security systems is to identify, log and prevent malicious network traffic. The

performance of intrusion detection systems depends on the classification accuracy of the classification or

prediction algorithms used in these systems. In this study, Naive Bayes, decision tree C4.5 and artificial neural

network classification algorithms are used efficiently for developing machine learning based intrusion detection

systems. The performances of the classification algorithms were evaluated with the confusion matrix results on

the Kyoto University honeypots traffic dataset and the results of the classification algorithms were compared with

each other. According to experimental results, the artificial neural network classification algorithm enhanced

better performance than Naive Bayes and decision trees C4.5 Classification algorithms for the intrusion detection

system.

KEYWORDS - Artificial Neural Network, Classification, C4.5, Naïve Bayes, Intrusion Detection System.



KNOWLEDGE BASED ADAPTIVE EXPERT SYSTEM FRAMEWORK FOR

TRACKING WATER POLO PLAYERS BASED ON COMMONKADS

METHODOLOGY

VLADIMIR PLESTINA1 , HRVOJE TURIC2

1 University of Split Faculty of Science, Croatia 2 University of Split Faculty of Science, Croatia

ABSTRACT

Tracking players in water sports is very challenging task. Previous papers are usually based on tracking

algorithms and background modeling or players extraction. In this paper it is presented expert system framework

application organized from different angle. All system is described through CommonKADS methodology and it

can be applied by any algorithm. This methodology is implemented and evaluated on real water polo match.

KEYWORDS - Common KADS, Tracking Players, Water Polo, Computer Vision



REMOTE HOME CONTROL USING ARDUINO WITH ANDROID BASED

APPLICATION

EMRE AVUCLU1 , SAKIR TASDEMIR2

1 Aksaray University, Turkey


ABSTRACT

Technology has brought many innovations and conveniences to human life. Nowadays, some applications are

frequently used to make people's lives easier. In this study, a model house was developed in order to make it

easier for people to meet their needs in daily life. The doors and lights of this model house were controlled

wirelessly by the phone. Arduino's wireless communication technology is used in the control process. Application

we use daily in our house door, lamp, etc. the tools are remotely controlled thanks to the android supported phone.

The application is very convenient for everyone, especially disabled-elderly people.

KEYWORDS - Arduino, Remote control, Home control, Android, Blueterm.



CONVOLUTIONAL NEURAL NETWORK BASELINE MODEL BUILDING

FOR PERSON RE IDENTIFICATION

SALEH HUSSIN1 , KHALED ELASHEK2 , REMZI YILDIRIM3

1 Yildirim Beyazit University, Turkey 2 Yildirim Beyazit University, Turkey 3 Yildirim Beyazit University, Turkey

ABSTRACT

Nowadays, there has been a wide range of critical issues that made the person re-identification task as a

challenging task, these issues include human pose variation, human body occlusion, camera view variation, etc.

To overcome these issues, most of the modern approaches are proposed based on deep convolutional neural

network (CNN). This paper, sheds light on how to utilize a pre-trained CNN models which were developed for

image recognition, to create a powerful CNN baseline model that could be utilized for the task of person re-

identification. To build such a powerful model, this study has proposed to adjust the architecture of the CNN

model by adding batch normalization and dropout layers to the classifier part of the CNN to prevent an overfitting

and re-train it with the available dataset. Then this research study has utilized cosine similarity to calculate the

resemblance among the extracted features. The extensive experiments conducted on the proposed CNN baseline

model using the three large and well-known standard re-identification datasets to validate the performance of the

proposed method, proved that the proposed approach could be compared with the state-of-the-art approaches.

KEYWORDS - Computer Vision, Person Re-Identification, Deep Learning, Convolutional Neural Network.



AGGREGATION OF MULTI STAKEHOLDER PREFERENCES ON FEATURE

MODELS

ALPER KILIC1 , AHMET ARSLAN2


2 Enelsis Ltd, Turkey

ABSTRACT

Feature models are one of the most important techniques to manage variability and commonality for modeling the

attributes of a software product line (SPL). When building an SPL, as in most practical cases, there exist multiple

stakeholders with their preferences on various and optional features. In this paper, we propose using fuzzy integral

operators to integrate various preferences of stakeholders in SPL. Proposed method aims to aid multi-stakeholder

feature model configuration which is known to be hard, error-prone and time-consuming activity

KEYWORDS - Software Product Lines, Feature Models, Fuzzy Integral



OBSERVATIONS ON THE EVALUATION OF DORSAL HAND VEIN DHV

RECOGNITION AND IDENTIFICATION

KHA LED ALASHIK1 , SALEH HUSSIN2 , REMZI YILDIRIM3

1 Yildirim Beyazit University, Ankara, Turkey 2 Yildirim Beyazit University, Ankara, Turkey 3 Yildirim Beyazit University, Ankara, Turkey

ABSTRACT

Despite the fact that there is a demand of the optimal security framework nowadays; the dorsal venous system is a

system of veins in the shallow belt on the dorsum of hand-shaped by the dorsal metacarpal veins. It is found on

the back of the hand and offers to ascend to veins, for instance, the cephalic vein and the Dorsal vein. Biometrics

validation is a sectional domain utilized to enhance the general self-determinations domains communicated worry

over security as well as characteristic issues (Sontakke et al., 2017). This observational research will move

forward on observing the electronic database to review diverse methods utilized for designing the framework has

been discussed in this paper. A dorsal hand vein (DHV) recognition framework consists of the following steps, for

instance, image acquisition from the database as well as post-processing, pre-processing, segmentation, finding of

the region of interest, extraction of DHV pattern features as well as algorithm of DHV. Several models are utilized

to enhance the accuracy as well as real-time of DHV authentication and the utilization of neural networks for the

final evaluation of the testing sample as well as training samples to identify an individual has been presented in

Table.A-1.1., Table.A-1.2. as well as Table.A-1.3. In addition, an outcome of this observational study will be

beneficial for organizations and firms even individuals that seeking for ensuring privacy and security. In addition,

this study will move to implements the accuracy compression of the Real-time DHV biometric identification

utilizing faster neural networks in future.

KEYWORDS - Biometrics, Physical shape, Dorsal hand vein, Vein biometric feature, biometric identification

framework, dorsal hand vein pattern, High security, system recognition, Dorsal hand vein recognition and

identification , Feature Extraction



DYNAMIC ANALYSIS OF MALWARE IN WINDOWS OPERATING

SYSTEMS FROM PREVIOUSLY CAPTURED NETWORK PACKETS

BELKIJA RESHITI1 , MENTOR HAMITI2 , BESNIK SELIMI3 , BUJAR RAUFI4

1 South East European University, Macedonia 2 South East European University, Macedonia 3 South East European University, Macedonia 4 South East European University, Macedonia

ABSTRACT

This research gives a basic introduction to malicious software applications by describing the infection vectors.

Here, we have defined the layers of malware analysis with a distinction between static and dynamic analysis.

Focal point was performing dynamic malware analysis over previously captured network packets over Windows

XP Operating System by building a software platform or safe environment for malware analysis with required

software tools and resources. In this research, we tried to determine a working practical solution to how the

malware has to be analyzed with its constraints, which standard operating procedures shall be implemented and at

least how a security expert should deal to minimize the security problems infected by malicious software codes.

KEYWORDS - Malware, Static Analysis, Dynamic Analysis, Safe Environment



IMPLEMENTATION OF MOTH FLAME OPTIMIZATION ALGORITHM

FOR THE PREDICTION OF TURKEY S ENERGY DEMAND

AHMET OZKIS1 , TAHIR SAG2



ABSTRACT

In this study, a linear model based on the moth-flame optimization (MFO) algorithm was developed for estimating

Turkey's energy demand. Input parameters of this model consist of Turkey's gross domestic product (GDP),

population, import and export data. The results of the developed EMFO model were compared with the results of

2 different models in the literature. Results show that the EMFO model is more successful than the compared

models. Finally, in this study, the developed EMFO model was used to forecast Turkey's energy demand up to

2030.

KEYWORDS - Moth-Flame Optimization, Energy Demand Estimation, Metaheuristic, Optimization, Turkey.



IMAGE PROCESSING BASED FAULT DETECTION IN ELEVATOR

CIRCUIT BOARDS

HASAN ERDINC KOCER1 , TEVFIK AKCAN2


2 Konya Teknik University, Turkey

ABSTRACT

In recent years, the development of electronic devices with a more compact design and more complex functions

has led to electronic circuit boards becoming smaller and more intensive with circuits and components. Because

bare printed circuit boards are an important part of the electronic device, they must be properly inspected before

being placed on the market. Various methods are applied to detect defects in the printed circuit board (PCB). Of

these, optical images are compared with reference images and errors are detected. In this study, a software has

been developed to detect defects of elevator print circuit boards in transmission paths. Three types of image

processing libraries are used on the Python platform. These are Scikit-Image, Pillow and OpenCV libraries. Three

different types of defects (mouse bite, open circuit and pin hole) were detected by using XOR operator, structural

similarity index and template matching.

KEYWORDS - Image Processing, Fault Detection, Printed Circuit Boards



AN EFFICIENT APPROACH TO SIMULATION OF SEPIC CONVERTER

WITH MUTUAL INDUCTANCE

SECKIN SOLA1 , ALI BEKIR YILDIZ2 , TARIK ERFIDAN3

1 Kocaeli University, Turkey 2 Kocaeli University, Turkey 3 Kocaeli University, Turkey

ABSTRACT

DC-DC Converters are used to convert a variable or constant DC voltage level to another. According to input and

output DC levels, DC-DC Converters operate as step-up or step-down. A SEPIC (single ended primary inductance

converter) DC-DC converter can operate as either step-up or step-down depending on duty cycle and commonly

used in photovoltaic systems and battery charger systems. In this paper, modified nodal analysis is used to analyze

SEPIC Converter with coupled inductor and switching elements are modeled with two valued resistor approach.

The simulation results show that two valued resistor approach is more efficient than classical modeling

approaches in modeling switching elements.

KEYWORDS - SEPIC, DC-DC Converter, Analysis, Switch, Model



SEE THE WIRELESS

ALI YESIL1 , RADOSVETA SOKULLU2

1 Ege University, Turkey 2 Ege University, Turkey

ABSTRACT

This paper presents the design and implementation of a system that allows visualizing the WiFi signals around us.

The system is based on a Yagi antenna and a Raspberry Pi processor equipped with a camera. Using image

processing techniques received signal strength is encoded into a color scale and overlaid with the corresponding

image of the surrounding environment. MATLAB code ensures high conversion precision. Excluding the Yagi

antenna which was custom designed from the project, the rest of the components are cheap, off-the-shelf

components which make it a simple low cost solution. It can be used as a simple preliminary method to visually

determine the availability and strength of WiFi signals when designing 802.11 wireless networks.

KEYWORDS - Yagi-Uda Antenna, 2.4 GHz Wireless Network, Stepper Motor, Image Processing



DESIGNING A SYSTEM FOR NATURAL GAS STORAGE FACILITIES IN

SALT CAVERNS

ENIS MURAT ORHAN1 , ILYAS CANKAYA2

1 Graduate School of Natural Sciences, Turkey 2 Graduate School of Natural Sciences, Turkey

ABSTRACT

Natural gas is most widely used resources for energy and is also used by people in homes for heating up.

Countries cannot produce natural gas try to keep the balance between demand and supply. So, importance of

natural gas storage increases and investments increase day by day. Generally, these facilities are operated

manually. When the operation starts, operators take all decisions. Which units are working, which cavern should

be used, which valves are open or close, all decisions made by operators. This type of facilities has complex

process and possibility of man-made mistake is high. It is aimed that minimize the man-made mistakes, operate

the facilities effectively and continuously. Therefore, a software tool is designed for the operations. The purpose is

makes a PLC programming that include definition of operating parameters for all units in natural gas storage

facilities, full automatic and semi-automatic operation, programming of the parameters and create SCADA pages.

KEYWORDS - SCADA, Natural Gas Storage, Gas Operation, Salt Caverns



USING AD7746 FOR HIGH PRECISION CAPACITANCE MEASUREMENT

IN INDUSTRIAL APPLICATIONS

NIHAT CANKAYA1 , MUCIZ OZCAN2

1 Necmettin Erbakan University, Konya, Turkey 2 Necmettin Erbakan University, Konya, Turkey

ABSTRACT

Capacitive sensors have been widely used in industry for many years. The basic measurement logic is to measure,

analyze and linearize the changes in the dielectric coefficient of the environment. Thanks to the developing

technology, these sensors have been used in new sectors in recent years. The use of these sensors has increased

considerably in areas such as agriculture, biomedical devices, MEMS and mobile telephones. There are different

methods of measuring the change of dielectric coefficient of the medium. Capacitive measurement is generally an

inexpensive measurement method. However, there are weaknesses due to problems in capacity measurement.

Magnetic noise and temperature variations adversely affect the measurement accuracy of these sensors. One of the

most important reasons for this is that the measuring circuit contains a large number of elements and is susceptible

to interference. However, the capacitive digital converter chips developed in recent years have made these sensors

very reliable. The prices are also quite economical. The Ad7746 is one of these chips. This chip converts the

capacitance in 24 bit resolution. It has temperature sensors in itself to compensate for temperature changes. The

measured value from the electrodes is immediately converted to digital information. The measured values are

transmitted directly to the device associated with the i2c protocol, with no distortion on the road. In this study, the

characteristics of AD7746 sensor, its industrial applications and the technological features it provides are

examined. It used an AD7746 circuit to measure the water level. The circuit has been tested for water presence

and proportional water level. It has been found that the circuit is very successful against noise and temperature

changes. It was concluded that the capacitive measurement sensor developed using AD7746 can be used reliably

for liquid level measurements in the industry.

KEYWORDS - AD7746, Capacitance to Digital, Liquid Level Measuring



BIAXIAL FUZZY LOGIC BASED SOLAR TRACKING SYSTEM

MEHMET CUNKAS1 , ADNAN MOHAMMED ANWER SHAKARJI2

1 Faculty of Technology, Selcuk University, Konya,Turkey

2 Ministry Of Water Resources, Iraq

ABSTRACT

Solar energy is an ecologically clean, inexpensive and easy to apply energy source compared to other alternative

energy sources. The efficiency of the solar panel reaches its maximum value when the sunlight is at its best angle.

The aim of this study is to design a solar tracking system based on fuzzy logic that can move in two axes

following the solar movement in order to increase the efficiency of the solar panel by several times. In this

system, the angles of the motors used on two axes are adjusted by subjecting the current values of the LDR light

sensors and the panel to the fuzzy logic rules to monitor the position of the sun. According to the experimental

results, it is observed that the panel works most efficiently from sunrise to sunset

KEYWORDS - Fuzzy Logic, Raspberry Pi3 B +, Solar, Tracking System.



IMU SENSOR SUPPORTED BLUETOOTH BASED FALL DETECTION

SYSTEM FOR SAILORS

BERK AGIN1 , MUZAFFER SEVIL YESILPINAR2 , TANER AKKAN3 , YAVUZ SENOL4 , SUKRAN KARA5

1 National Defence University, Turkey

2 Dokuz Eylul University, Turkey 3 Dokuz Eylul University, Turkey 4 Dokuz Eylul University, Turkey 5 Dokuz Eylul University, Turkey

ABSTRACT

Nowadays, more people attend sports for both their health and social gains. Especially sports such as sailing and

mountaineering became popular among the sportsmen who prefer to be in nature during performing a team sport.

In this study, it was aimed to improve the safety of sailors by enhancing a Bluetooth based fall detection system.

A previously developed fall detection system was enhanced by implementing new sensors and electronic

components such as IMU (inertial measurement unit) sensor, temperature sensor, MP3 player. The designed

system consisted of a master and many slave systems. The master system was planned to be located in the center

of a sailor yacht and the slave systems were placed into sailor garments. The master system consisted of GSM,

GPS, OLED screen and various electronical components. The slave system has heart rate sensor, temperature

sensor, IMU, MP3 player, OLED screen and some controller units. In addition to all these components, both

systems have Bluetooth modules to provide wireless communication. According to the developed concept, the

master system continuously scans slave units by means of Bluetooth modules. Safety function of the master

system is activated when any of the sailors goes out of communication range of the master system. In that case,

the sailor who has the missing communication is accepted as fallen from the boat and the location of falling is

found by the master by means of GPS. Then the location information is sent to rescue operation center. The sailor

also gets warning signals from the electronic system, which can also detect the falling, and initiates the emergency

procedure. The study was improved over a previous study with addition of new electronical technologies and new

software programs. The realized waterproof tests showed that the designed system provides satisfactory results.

The designed system can also be used in different sport areas which requires team activities and communications

within team members such as mountaineering, entertainment activities and daily lives. This study is funded by

The Scientific and Technological Research Council of Turkey (TUBITAK) via 1505 scientific research project

(Project No: 5160070) with support of CU Tekstil San. Tic. A.S. (Izmir, Turkey). Authors thank for their

supports.

KEYWORDS - Fall Detection, Heart Rate, Sport Activity, Distress Signal, Smart Sailing Garment, Embedded

System.



A FREE FORM LENS DESIGN FOR LONG RANGE LED ILLUMINATION

AHMET BINGUL1 , ANDREW BEDDALL2

1 Gaziantep University, Turkey

2 Bahceshehir University, Turkey

ABSTRACT

In this study, a procedure for designing a free-form lens for long-range LED illumination is presented. The

geometrical form of the free-form lens is obtained by minimizing optical path lengths of the rays emitted from the

light source. Also, a prototype of the proposed lens is manufactured by the plastic injection method using PMMA

material whose transmittance for the visible and near infrared optical regions is greater than 90%. Optical power

measurements of the lens for two diferent LEDs are compared with the simulations based on Zemax OpticStudio.

KEYWORDS - Free-Form Lens, Long Range Illumination, PMMA



IMPLEMENTATION OF BABYLONIAN SQUARE ROOT COMPUTATION

ALGORITHM WITH VHDL

ABDULKADIR SADAY1 , ILKER ALI OZKAN2



ABSTRACT

One of the most important calculation operation in many systems is the calculation of the square root of numbers.

In digital systems and digital signal processing there are some different algorithms to calculate the square root of

numbers. Designing of the square root calculator depends on the algorithm or method for the programming

format. The Babylonian method was examined and used as a different approach in this study. The digital square

root calculator designed is mainly based on the Babylonian method and design was implemented with VHDL

language.

KEYWORDS - VHDL, Square Root, Babylonian Method, FPGA



LOCATING THE SENSORS POSITIONS IN WSN BASED ON MUSIC

ALGORITHM

SAAD HRESHEE1

1 University of Babylon, Iraq

ABSTRACT

Wireless sensor networks are often randomly deployed using an aircraft, for example, so the position of these

nodes cannot be obtained previously. Therefore, we will produce a so-called site identification problem, i.e. how

to obtain the site information of the unspecified node, and this is one of the most important topics of these

networks. The Global Positioning System (GPS) is the most used positioning system for this time. But usually the

disadvantages of these nodes are its high expenditure, its large volume, and its high cost, so the (GPS) is not

applicable in these networks which are inherently self-configured low cost, and also it is impossible to install GPS

for each node. In this paper, non-GPS positioning mechanisms will be used and studded for the wireless sensor

networks. The effectiveness of the use of the MUSIC algorithm will be tested in the identification of signal flower

angles based on SDMA technology and ESPAR antenna.

KEYWORDS - WSN, SDMA, ESPAR, Antenna



DETECTING THYROID CANCER BY USING CONVOLUTION NEURAL

NETWORK

AYMEN SALMAN DAWOOD EZZAT1

1 Graduate Training Institute, Konya Technical University, Turkey

ABSTRACT

The thyroid gland is below the Adam’s apple (called the thyroid cartilage) in the front of the neck. Due to

increasing in the number of people who diagnosis with thyroid cancer and also it has been difficult to inspect the

disease within the gland. Deep into the problem, a model of classical machine learning techniques or machine

learning system needs to extract the feature vector first, these processes are time consuming. Besides, the

techniques cannot process raw data without preprocessing and without expert assistance. The CNN algorithm

features are less time consuming and higher accuracy when data is preformed which leads to the objectives of this

study, to adders them, deep learning is considered to be a successful tool to solve the problem. Deep networks

perform the learning process on raw data unlike the traditional techniques. In this study, the transfer learning

method (Pre-trained Model Approach) is used to detect thyroid cancer by recalling the pretrained network

(AlexNet). Results show the deep network gives an accuracy of 100% with less time consumed. However, the

data used is few in terms of number of images processed.

KEYWORDS - Deep Learning, Networks, Image Processing, Thyroid, Transfer Learning



A CURRENT LIMITING CONTROL STRATEGY OF GRID CONNECTED

INVERTER FOR OVERCURRENT PROTECTION

MEHMET EMIN MERAL1 , DOGAN CELIK2



ABSTRACT

With the growing proliferation of the grid connected inverter (GCI) in modern power systems, the utility grid

faces the challenge of flowing excessive current under unbalanced grid fault conditions. Therefore, a proper

control strategy is important for the GCI during grid faults to prevent damage to semiconductor switches of

inverter. To make progress in this direction, this paper presents a current limiting control strategy for overcurrent

protection. Computed peak phase currents are integrated into the reference current generator to remain the peak

current in the safe limits. Control of active and reactive power oscillations are performed by using an adjustable

control parameter. A set of simulation results based on PSCAD/EMTDC software confirms the accuracy of the

analysis and the effectiveness of the current limiting control strategy.

KEYWORDS - Grid Connected Inverter, Current Limitation Control, Overcurrent, Unbalanced Grid Faults



IMPLEMENTATION OF RENEWABLE ENERGY INTEGRATED

AUTOMATION TRAINING SET

CIHAN SAHIN1 , MEVLUT KARACOR2 , HARUN OZBAY3

1 Bilecik Seyh Edebali University, Turkey

2 Manisa Celal Bayar University, Turkey 3 Bandirma Onyedi Eylul University, Turkey

ABSTRACT

In today's world, the need for energy is increasing day by day with the developments in technology. This energy is

mostly supplied from fossil fuels. However, the future depletion of fossil fuels, environmental damage and price

increases have led people to use alternative energy sources. Although there are various alternative energy sources,

Solar and Wind energy are the most widely used. The use of alternative energy sources is as important as the

efficient use of these sources. Therefore, the use of control and automation technologies in alternative energy

systems is of great importance. In this study, automation experiment set with integrated alternative energy source

was realized. Thanks to the experimental set, the students have become interested in the alternative energy and

automation world together and contributed to their development in this field.

KEYWORDS - Automation, Industry 4.0, Renewable Energy



AN EFFECTIVE SOLUTION OF ERAB PROBLEMS IN LTE

ABDULLAH GENC1

1 Isparta University of Applied Sciences, Turkey

ABSTRACT

E-UTRAN Radio Access Bearer (ERAB) is an important parameter in LTE Key Performance Indicator analysis.

That’s why optimization engineers insist on making improvement on it. This parameter is formed by combining

the S1 bearer and the corresponding radio bearer. It can be noted that this function is related to the E-RAB ID and

Quality Class Identifier. The E-RAB ID parameter is used to determine the ERAB on the S1 interface. In a mobile

network, there are values that affect the quality of service, such as Bit Error Rate and the end to end delay. These

values define the QCI in LTE. The planned improvements are not easy; hence the ERAB parameter is composed

of these different complex parameters. In this paper, ERAP and parameters related to the Handover are improved

by proposed solutions of the results. As a result for downlink and uplink, ERAB Call Drop Rate is 0.05 and 72.41,

respectively. Also, SINR Intra Frequency Handover is 337 and 406, respectively. All of these initiatives were

successfully completed.

KEYWORDS - Mobile Network, LTE, Radio Access Network, Optimization



MEASUREMENT OF DIELECTRIC CHARACTERISTICS OF FIG AND

MULBERRY LEAVES BY WAVEGUIDE TRANSMISSION LINE

TECHNIQUE

HABIB DOGAN1

1 Isparta Provincial Directorate of Environment and Urbanization, Turkey

ABSTRACT

Recently, the use of microwave technologies has become widespread in studies on plants. The basis of these

technologies is based on the determination of the dielectric properties of the material studied. The dependence of

dielectric properties to water and frequency facilitates the automation of management by remotely sensing the

needs of plants to water. In this way, both yield and quality increase in plants can be achieved. In this study,

dielectric parameters of the fig and mulberry leaves intensively produced in Turkey are measured by Waveguide

Transmission Line Method. Measurements are conducted between 4.90-7.05 GHz (for WR159 waveguide) and

the dielectric characteristics of the leaves are examined depending on the moisture content and frequency. A new

model with a curve fitting method based on frequency and moisture content (MC) is proposed used dielectric

measurement data of fig leaves. This model is compared with the dielectric measurement results of mulberry

leaves which belong to the same family with fig type to see the accuracy of the proposed model is tested.

KEYWORDS - Microwave Applications, Dielectric Measurement, Moisture Content, Fig Leaves, Mulberry

Leaves.



FIXED AND VARIABLE ANGLE SOLAR ENERGY PLANT ANALYSIS

OYA KILCI1 , MURAT KOKLU2


ABSTRACT

Developments in science and technology cause increasing energy demand every day. Renewable energy sources

already have a significant place in electricity production both around the world and also in Turkey and the share

of solar energy going higher within the renewable energy sources. Solar energy is extremely easy to use, it is

preferable too because it is environmentally friendly-clean energy. Solar energy plant is the energy source of the

future, because the production costs of solar plants are lower than other energy sources and the economic

difficulties are overcome. To get optimal production, the solar energy plant must make maximum use of the sun.

In the designed system, solar panels are provided with both fixed and seasonal variations. The first variations of

solar panel systems is are placed at constant 25° angle and the position angle of second variation is shifted from

10° to 30°in summer and winter accordingly. In this study, the performance of 1148 kWp PV plants which is

established in Altınekin district of Konya and planned to be connected to the grid was evaluated by PVSYST

analysis program. Power generation of the two different systems, specific data and performance value are

calculated. Result of the study shows that the seasonal system produced 32.2 MWh more per year than the fixed

system. Global irradiation in the seasonal system is 26.4 kWh/m², and the specific yield is concluded to be more

than 28 kWh / kWc / year.

KEYWORDS - Solar Power Plant, Solar Energy, Fixed System, Variable Angle System.



SOLUTION OF PROBLEMS ON BAD SIGNAL QUALITY VIA RF

OPTIMIZATION IN CELLULAR NETWORK

IBRAHIM BASYIGIT1

1 Isparta University of Applied Science, Turkey

ABSTRACT

Quality of service is a significant indicator that gives an idea of technology and success of mobile

operator/vendor. Call integrity, call retainability and call set-up success rate are the important key performance

indicators (KPIs) that define and create the quality of service. In addition, operators expect the complaints of

customers using the network to be resolved immediately to increase customer satisfaction. The low network

quality in these complaints is not easy to solve for planning and optimization engineers. The aim of this study is

first to solve the quality problems by hardware configuration and changing optimization parameters in the global

system for mobile communication (GSM) 900 frequency band. The second is to examine the RxQual, Speech

Quality Index (SQI) and the Carrier to Interference ratio (C/I) values of the test region where voice quality

problems have been solved and to determine whether the network contributed to the network quality. The network

quality, which is very important for operators, has been investigated in the test regions. As a result, the average

RxQual value from 7 to 3 has increased the quality of the received signal. The average SQI value from 9 to 25 has

increased speech quality. The average C/I value from 7 to 13 has increased the MOS which is related to the voice

quality on the grapevine.

KEYWORDS - QoS, Mobile Network, KPI, Radio Access Network, Cellular Communication



USE OF PMSM IN ELECTRIC MOBILITY SCOOTER PROPULSION

FATIH ALPASLAN KAZAN1 , RAMAZAN AKKAYA2



ABSTRACT

In battery-operated wheelchairs are commonly used permanent magnet direct current (PMDC) motors. However

brushless motors are more efficient than brushed motors. Therefore, in this study, PMDC motor was removed in

electric mobility scooter type disabled vehicle which is used as a test vehicle and permanent magnet synchronous

motor (PMSM) was mounted. The PMSM was driven by a sensorless field-oriented control method. The vehicle

was been successful in the outdoor tests. So, PMSM was used for the first time in a disabled vehicle with a shaft

system.

KEYWORDS - Disabled Vehicle, Battery-Operated Wheelchair, Electric Mobility Scooter, PMDC Motor,

PMSM.



DESIGN AND COST OF SPEED TRAIN SYSTEM WHICH GET ENERGY

FROM SOLAR

MINE SERTSOZ1

1 Transportation Vocatioanal School, Eskisehir Technical University, Turkey

ABSTRACT

The utilization rate of solar energy, which we know as a clean energy source, using in rail systems is a very

popular issue. Because all possible solutions should be considered in order to meet increasing energy and

transportation needs. In this study, it is assumed that the Ankara-Istanbul YHT train is operated entirely with solar

energy except of the loss of transformers and other additional equipment. As a result of this assumption, the

number of needed panels are calculated by SOLIMPLEX program and how much time this system could pay for it

self are calculated according to the found number of these panels. In addition to these, CO2 emission values of the

system are given and the environmental benefit is mentioned. Finally, the ways of reducing the cost of this system

are mentioned and the study is finished with various recommendations.

KEYWORDS - Railway, Transportation, Solar Energy, Energy Efficiency, CO2 Emission.



MOSFET ONLY CURRENT MODE BP LP FILTER

EMRE ARSLAN1 , YUNUS UZUN2 , SAFAK MURAT KIZILIRMAK3

1 Aksaray University, Turkey

2 Aksaray University, Turkey 3 Aksaray University, Turkey

ABSTRACT

In this work, a current mode dual output, analog MOSFET ONLY BP/LP filter is presented. Transconductance

and gate-to-source capacitances of the MOSFET’s are used instead of passive circuit components like resistors

and capacitors. The proposed filter exhibits some advantages compared to classical analog filter circuits which are

low voltage and low power operation, reduced chip area and wide frequency range. The functional core circuit of

the proposed filter has only two MOSFET transistors. LTSpice simulations are performed to verify the theoretical

results and it is shown that theoretical results are in good agreement with the simulated ones.

KEYWORDS - MOSFET-Only, Analog Filter, Current-Mode



EFFECTS OF STATOR SLOT OPTIMIZATION ON EFFICIENCY AND

TORQUE IN INDUCTION MOTOR

YUNUS UZUN1 , EMRE ARSLAN2

1 Aksaray University, Turkey 2 Aksaray University, Turkey

ABSTRACT

Due to a number of advantages, induction motors are the most widely used the industry. Many output parameters

such as efficiency, torque and power factor of these motors can be changed thanks to changes in the motor

structure. In the optimization study, the most important factor is which output parameter to change. Of course,

when changing this output parameter, there will be changes in other parameters. Therefore, all parameters should

be kept under control in the design to be realized. In this study, only small changes were realized in the stator slot

structure and changes in the magnitudes such as current, moment, power factor and efficiency were observed. It

was observed that the higher efficiency in the narrow and long slot structure. However, higher starting torque and

break-down torque were obtained in the large and short slot structure for same slot volumes.

KEYWORDS - Induction Motor, Slot Optimization, RMxprt, Efficiency



LOW VOLTAGE GAIN BOOSTED TWO STAGE CMOS OPERATIONAL

AMPLIFIER

ERSIN ALAYBEYOGLU1

1 Bartin University, Turkey

ABSTRACT

In this work, two-stage gain boosted CMOS operational amplifier (OPAMP) design is realized for use in analog

signal processing. The input and output stages of the designed circuit have a wide dynamic range between the

supply voltage and ground. The transistor sizes of the designed operational amplifier and biasing currents are

selected to provide low power consumption with high gain. The designed circuit is proposed for 2kΩ resistive and

200pF capacitive load. Simulations are performed in Cadence Spectre Circuit Simulator using 180nm CMOS

technology.

KEYWORDS - Operational Amplifier (OPAMP), Analog Signal Processing, Analog to Digital Converter (ADC).



INVESTIGATION ON DIELECTRIC PERMITTIVITY OF PZT

MANUFACTURED BY ELECTRIC FIELD ASSISTED SINTERING

ILYAS SAVKLIYILDIZ1 , CIGDEM OKUR2


ABSTRACT

By using submicron PZT(Pb[Zrx,Ti1-x]O3 (0≤x≤1)) materials system, we provided electric field assisted

sintering at 482–520 oC temperature range in conjunction with 60 V/mm dc electric field on the specimen. The

furnace temperature increased up to 520 oC with 10 oC/min increment. 0.3 amp current cut off was set by dc

power supply to eliminate further temperature increase on specimen due to joule heating. The electric field

assisted sintering system was prepared with sandwich type experimental setup. The specimen showing initially

insulator behavior, revealed current leakage at 482 oC. Maximum current draw of 0.3 amp was reached at 502 oC

with total power absorption of 5.27 watt/mm3 during whole experiment. The power supply spontaneously

decreased the electric field 20 V/cm due to variation conductivity behavior of specimen and maximum current cut

off. Reaching 95 % theoretical density was verified with FESEM micrograph and there is almost no grain growth

on specimen except very good grain boundary generation. The sintered PZT specimen showed appreciable

dielectric permittivity (εr =273) on 1 kHz at room temperature comparing with other studies. Total power

absorption of 5.27 watt/mm3 in 180 seconds decreased sintering temperature from 1200 oC to 500 oC. Such an

effect cannot be explained with joule heating in a short period of time with very low power supply. Therefore, we

ascribe this behavior to electric field related polarization of atoms rested in lattice which increases mass transport

triggered with impulse electron flux thorough electric field. Thermodiffusion (Soret effect) and electromigration

are few theories could explain this phenomena. With this low temperature sintering techniques, lead emission

could also be restricted during manufacturing process.

KEYWORDS - Electric Field Assisted, Sintering, PZT Ceramics, Dielectric Permittivity



EFFECT OF MILLING TIME ON MORPHOLOGY AND STRUCTURAL

DEVELOPMENT OF CU CR COMPOSITE POWDERS

HALIT SUBUTAY1 , CIHAD NAZIK2 , EMIN SALUR3

1 Selcuk University, Turkey 2 Selcuk University, Turkey 3 Selcuk University, Turkey

ABSTRACT

In this study Cu-Cr powders produced with ball milling process via high energy planetary ball milling. The

planetary ball milling was chosen as being a unique tecnique for powder processing to be mechanochemical

activation and mixing of powders. The ball milling jar was WC and ball to powder raito was 10/1. The ball

milling time was chosen three different time (15 min., 2h, 4h). In order to determine the effects of the different

milling times on the morphology of powders were utilized by particle size analysis. In addition, deformation

behavior of composite powders was analyzed. The structural evolution of Cu-Cr powders produced at different

milling times were evaluated from X-ray diffractometry. It was found that the milling time was powerfully

effective on the particle size and its distribution. The results indicated that increasing ball milling time showed

that XRD peaks were shifted to higher degrees for (111) peaks of Cu which was attributed to Cr addition

KEYWORDS - Mechanical Alloying, Particle Size, Cu, Cr, X-Ray Diffractometry



INVESTIGATION OF THE EFFECT OF DIFFERENT MILLING TIMES ON

THE CHARACTERIZATION OF MECHANICALLY ALLOYED CU Y2O3

COMPOSITES

HALIT SUBUTAY1 , EMIN SALUR2 , CIHAD NAZIK3


ABSTRACT

In this study Cu-Y2O3 (ODS Copper) powders produced by mechanical alloying in planetary ball mill. The

planetary ball milling was chosen as being a unique technique for powder processing to be mechanochemical

activation and mixing of powders. The ball milling jar was WC and ball to powder ratio was 10/1. The ball

milling time was chosen three different time (15 min., 2h, 4h). In order to determine the effects of the different

milling times on the morphology of powders were utilized by particle size analysis. The crystal sizes of Cu-Y2O3

powders produced at different milling times were calculated from XRD results and the effect of different milling

times on the structure of mechanically alloyed Cu- Y2O3 powders was investigated. The increasing ball milling

time showed that XRD peaks were shifted to higher degrees for (111) peaks of Cu which was attributed to Cr

addition. In addition, it was observed that lattice strain and dislocation density of Cu- Y2O3 powders increased as

a function of prolonged milling time.

KEYWORDS - Mechanical Alloying, Particle Size, Cu, Y2O3, Dislocation Density, Lattice Strain



PRODUCTION OF B4C REINFORCED ALUMINUM MATRIX

COMPOSITE BY SQUEEZE CASTING METHOD AND DETERMINATION

OF WEAR RESISTANCE

AHMET KABIL1 , CAGLAR YUKSEL2 , SERDAR OSMAN YILMAZ3 , MUSTAFA CIGDEM4

1 Yildiz Technical University, Turkey

2 Ataturk University, Turkey 3 Tekirdag Namik Kemal University, Turkey

4 Yildiz Technical University, Turkey

ABSTRACT

The expected performance values of engineering materials are increasing progressively. Today, it is becoming

increasingly difficult to meet these expectations with monolithic materials. For this reason, studies in the field of

composite materials are continuing intensively. Composites, which can be designed for special purposes, such as

wear resistance and provide significant weight and performance gains where they are used. It is observed that the

use of aluminum matrix composites is increasing gradually especially in automotive and aerospace sectors where

weight reduction studies are intensified. Aluminum matrix composites which can be reinforced with various

particles such as Al2O3, SiC and B4C provide superiority to monolithic materials in mechanical properties such

as wear resistance, tensile strength and hardness. In this study, aluminum matrix composite reinforced with B4C is

produced by squeeze casting method. The microstructural examination was made with the scanning electron

microscope (SEM). The wear resistance of the composite material was evaluated with weight loss, volume loss

and wear rate values. In the SEM examination, it was found that the reinforcing particles were successfully

embedded in the matrix and did not cause any porosity. Results of the wear test showed that the volume loss of

composite material was 1,44%, whereas the weight loss was 1,44%. Also the wear rate was 1,43x10-5 cm3/m.

KEYWORDS - AMMC, B4C, Squeeze Casting, Wear Resistance, Wear



ONE STEP ELECTROSPINNING OF GRAPHENE OXIDE SILVER

NANOPARTICLE FUNCTIONALIZED POLY E CAPROLACTONE

BIOCOMPOSITE NANOFIBERS AS AN ADVANCED ANTIMICROBIAL

APPLICATIONS

FATMA SARIIPEK1 , FATIH SEVGI2

1 Konya Technical Univercity, Turkey

2 Selcuk Univercity, Turkey

ABSTRACT

In this work, Poly (ε-caprolactone) (PCL) biopolymer nanofiber functionalized with graphene oxide-silver

nanoparticles (GO-AgNPs) was successfully prepared by one-step electrospinning for antimicrobial wound

dressing applications. PCL is a well-known material for biomedical applications including wound dressings. To

enhance bactericidal performances of PCL, graphene oxide (GO), and silver nanoparticle (AgNP) are incorporated

into the PCL matrix. For comparison, the functionalized-GO-AgNP PCL nanofibers with different AgNP content

and bare PCL nanofibers were prepared and fully characterized using Scanning Electron Microscopy (SEM),

Fourier Transform Infrared spectrometer (FT-IR) and Contact Angle measurements. The obtained biocomposite

nanofibers showed good bactericidal activity against both of Gram-positive and Gram-negative bacteria.

Therefore, the GO-AgNP functionalized-PCL biocomposite nanofibers are promising for wound dressing

applications.

KEYWORDS - Biocomposite Nanofibers, PCL, GO-Ag Nanoparticles, Antibacterial Actiivity



A NOVEL PHOSPHOR MATERIAL FOR WHITE LIGHT EMITTING

DIODES WLEDS EU2 DOPED SI2N2O

ALPARSLAN ALI BALTA1 , ARIFE YURDAKUL2 , ORKUN TUNCKAN3 , SERVET TURAN4 , HILMI

YURDAKUL5

1 Eskisehir Technical University, Turkey

2 Alanya Alaaddin Keykubat University, Turkey 3 Eskisehir Technical University, Turkey 4 Eskisehir Technical Unievrsity, Turkey

5 Alanya Alaaddin Keykubat University, Turkey

ABSTRACT

White light emitting diodes (WLEDs) have nowadays attracted more interest in solid state lighting technology.

Silicon oxynitride (Si2N2O) which mineralogical name is ‘Sinoite’ has excellent physical, mechanical and

thermal properties. Also, the orthorhombic crystal structure of Si2N2O has large interstitial sites that can

accommodate the rare earth (RE) elements’ atoms along the 'c' axis. In this study, 0.02 to 0.12 wt. % Eu2+ doped

Si2N2O was produced by spark plasma sintering (SPS) method from high purity starting powders at 30MPa

pressure and 1650°C temperature. Herein, Li2O was also used as sintering additive to obtain the low eutectic

point. Moreover, sintered specimens were characterized by scanning electron microscopy (SEM) equipped with

energy dispersive X-ray (EDX) and cathodoluminescence (CL) spectroscopies, transmission electron microscopy

(TEM), X-ray diffraction (XRD) and photoluminescence (PL) spectroscopy. Results showed that above 90%

Si2N2O phase was successfully obtained by SPS route. Eu2+ doped Si2N2O samples exhibited the broad intense

emission peak at 470-510 nm which corresponds to bluish green color. This study was supported by TUBITAK

under the project number 217M667.

KEYWORDS - WLED, Phosphor, Luminescence, Si2N2O, Eu



EFFECT OF INOCULANT TYPE ON MICROSTRUCTURE OF A206 AI

ALLOY

SELMAN CETINTURK1 , NECMETTIN TARAKCIOGLU2 , MUSTAFA ACERER3

1 Konya Tecnical University, Turkey


ABSTRACT

In this study, AlSr10, Al-3Ti-1B and Al-5Ti-1B grain refiner master alloys have been entered into A206.0

aluminum copper casting alloy and casting has been made to the gravity mold. Thus, the effects of different grain

refiners on the microstructures of aluminum copper alloys were investigated. Grain refining alloys were added to

aluminum copper alloy in 0.20%, 0.40%, 0.60% and 0.80% by weight. Optimum results were achieved when the

grain refiner master alloys were entered at 0.60% by weight. The microstructures of the samples were examined

by optical microscope and scanning electron microscope. The results were compared. AlSr10 added alloys were

found to be finer grained than aluminum copper alloys without grain refiner. However, it has been found that

AlSr10 grain refiners are not as effective as titanium and boron. In terms of grain size thinning effect, Al-5Ti-1B

and Al-3Ti-1B grain refiners were compared; Al-5Ti-1B was found to be more effective than Al-3Ti-1B. As the

boron ratios of these two master alloys were equal, titanium was found to be more effective in grain thinning.

KEYWORDS - A206 Al-Cu Alloys, Master Alloys, Al-5Ti-1B Alloy, Grain Refinement, Microstructure.



PULSED LASER DEPOSITION SYSTEM FOR A TIN OXIDES THIN FILMS

DEPOSITION

AMINA HOUIMI1 , SERAP YIGIT GEZGIN2 , HAMDI SUKUR KILIC3



ABSTRACT

One of the most known transparent metal oxides is Tin oxide. It has a wide range of applications in different fields

that makes it to gain a lot of interests. In this study, we present the composition of a mixt matrix thin films of tin

oxides grown by Pulsed Laser Deposition (PLD) technique. These thin films were produced at room temperature

and with the utilization of a pure metallic tin targets. The structural and optical properties were investigated using

X-ray diffraction and absorption spectroscopy. Crystal structure and phase transformation during the deposition

and annealing treatments were also explained in details in this work.

KEYWORDS - Pulsed Laser Deposition, Thin Films, Tin Oxide



FPL ETCHING PARAMETER OPTIMIZATION FOR ADHESION

PERFORMANCE OF AL CFRP ADHESIVE JOINTS

ONUR COBAN1 , MUSTAFA OZGUR BORA2 , BELGIN GENC OZTOPRAK3 , ERHAN

AKMAN4 , TOGAYHAN KUTLUK5

1 Kocaeli University, Turkey 2 Kocaeli University, Turkey 3 Kocaeli University, Turkey 4 Kocaeli University, Turkey 5 Kocaeli University, Turkey

ABSTRACT

Chemical pretreatments are often used to improve adhesion of aviation structural joints. The FPL (Forest Products

Laboratories) process for preparing aluminum for structural adhesive bonding has been used in the aerospace

industry since the early 1950’s. However for a novel Al/CFRP adhesive bonding, an optimization should be done

with FPL etching parameters which were applied to 2024-T3 aluminum alloy. In this study, FPL etching

parameters such as etching temperature and immersion time were investigated with single lap shear tests

according to ASTM D5868-1. Additionally failure analyses of aluminum surfaces after mechanical tests are

performed by using optical microscope to discuss the FPL etching parameter optimization. All results show that

for a new dissimilar material adhesive bonding with aluminum, it is suggested to optimize the chemical

pretreatment parameters according to the adhesion performance.

KEYWORDS - Aluminum Alloy, CFRP, FPL Etching, Adhesive Bonding, Shear Strength



INVESTIGATION OF THE USE OF FLY ASH ADDITIVE IN AERATED

CONCRETE PRODUCTION AND ITS EFFECTS

SULEYMAN AKPINAR1 , ATILLA EVCIN2 , CETIN OZTURK3 , IBRAHIM AKSEN4

1 Afyon Kocatepe University, Turkey 2 Afyon Kocatepe University, Turkey

3 Necmettin Erbakan University, Turkey 4 Afyon Kocatepe University, Turkey

ABSTRACT

Aerated concrete, which high thermal insulation properties, is a lightweight construction material that is resistant

to fire, earthquake and does not harm the environment at the same time. Nowadays, the rapid increase in demand

for raw material resources and the limited natural resources make it necessary to investigate the reusability of

industrial wastes. In this study, the possibility of using fly ash wastes, which cause environmental pollution in

aerated concrete production as an additive was investigated. For this purpose, the fly ash taken from Kütahya

Cement Plant was added to the standard aerated concrete recipe, used by AKG aerated concrete company, at the

proportions 3, 5, and 7 wt.%. The effects of fly ash addition on compressive strength and density in the prepared

samples were investigated and microstructures of the samples were characterized by XRD and SEM analyses. The

results indicate that the production of higher strength and lower density aerated concrete is possible with the

addition of 3 wt% fly ash.

KEYWORDS - Fly Ash, Aerated Concrete, Strength, Density, Characterization.



DENSITY FUNCTIONAL THEORY STUDY ON THE STRUCTURAL AND

VIBRATIONAL PROPERTIES OF 1 5 DIAMINOPENTANE

AYSUN GOZUTOK1 , AKIF OZBAY2


2 Gazi University, Turkey

ABSTRACT

In this work, we calculated the molecular structure parameters such as bond angles, bond lengths and vibrational

frequencies of 1,5-diaminopentane by density functional theory with the Becke 3-term correlation functional; Lee,

Yang, and Parr exchange functional method. The vibrational frequencies of this molecule were figured out with

scaled quantum mechanical calculations. All the parameters of this molecule were compared with theoretical and

experimental values.

KEYWORDS - 1,5-Diaminopentane, Density Functional Theory, Vibrational Frequency, Molecular Structure

Parameter



SHEAR STRENGTH PERFORMANCE EVALUATION OF AL CFRP

ADHESIVE BONDED JOINTS WITH VARIOUS SILANE TREATMENTS AT

ALUMINUM SURFACES

MUSTAFA OZGUR BORA1 , ONUR COBAN2 , TOGAYHAN KUTLUK3 , ERHAN AKMAN4 , BELGIN GENC

OZTOPRAK5

1 Faculty of Aeronautics and Astronautics, Turkey 2 Faculty of Aeronautics and Astronautics, Turkey

3 Department of Chemical Engineering, Turkey 4 Faculty of Aeronautics and Astronautics, Turkey 5 Faculty of Aeronautics and Astronautics, Turkey

ABSTRACT

Adhesive bonding offers light-weighted structures with respect to other assembly technologies such as bolted and

riveted joints, particularly in aviation industries. In addition, stress concentration becomes less significant without

the requirement of bolt or rivet holes, thus avoiding structure decay. The adhesive types and adherend surfaces as

the main elements in adhesive bonding should have good wettability with respect to joining components, such as

aluminum alloys and CFRPs (carbon fiber reinforced plastics). Surface preparation of adherends is an important

prerequisite for adhesive bonding. The purpose of surface preparation is either or a combination of cleaning the

surface from contamination, roughening the surface, raising the surface free energy and changing surface

chemical composition in order to facilitate the chemical attachment of adhesive to the adherend surfaces. The

objective of this study is to investigate the effect of silane treatment on the shear strength and failure type

characteristic of Al/CFRP bonded joints using three different silane concentrations (1, 3 and 5 wt.%) on AA2024-

T3 aluminum plates. Shear strength values of the Al/CFRP bonded joints were determined by using single lap

shear tests according to ASTM D5868-01. From the test results, the silane concentration of 3 wt.% on AA2024-T3

aluminum plates has a significant effect on shear strength of Al/CFRP bonded joints. After mechanical tests,

damage mechanisms were also observed by using the digital camera.

KEYWORDS - Adhesive Bonding, Surface Treatment, Silane Concentration, Shear Strength



EVALUATION OF DIFFERENT SURFACE TREATMENT METHODS

APPLIED TO IMPROVE THE CHEMICAL ADHESION MECHANISM OF

AL CFRP ADHESIVE BONDING

BELGIN GENC OZTOPRAK1 , ONUR COBAN2 , ERHAN AKMAN3 , MUSTAFA OZGUR

BORA4 , TOGAYHAN KUTLUK5

1 1 Kocaeli University Aviation Material Research and Development Laboratory Faculty of Aeronautics and

Astronautics, Turkey 2 Kocaeli University Aviation Material Research and Development Laboratory Faculty of Aeronautics and



Astronautics, Turkey 5 Kocaeli University Umuttepe Campus Department of Chemical Engineering, Turkey

ABSTRACT

Adhesive bonding has appeared to a promising technique for joining dissimilar materials. Because modification to

metal surface is successfully applied to enhance material surface adhesive bonding. Many chemical (etching,

anodizing, etc.) and mechanical (grinding, sand blasting, etc.) surface treatment processes are used to improve the

adhesion strength of aluminum surfaces to carbon fiber reinforced plastics (CFRP). In this study, the effect of

various physical and chemical treatments on the chemical composition and wetting properties of AA2024-T3

aluminum alloy surfaces was examined according to the values of untreated aluminum surfaces. Grinding process,

FPL-etching and silanization methods were performed to the aluminum alloy surfaces separately. The wettability

and chemical composition of the untreated, grinded, FPL-etched and silane coupled aluminum alloy surfaces were

evaluated by using contact-angle goniometry and FTIR-ATR spectroscopy, respectively to compare their effects

on adhesion performance of Al/CFRP adhesive bonded joints. The results show that chemical composition and

wetting properties of modified aluminum adherends should be evaluated to understand the adhesion performance

difference obtained for the adhesive bonded Al/CFRP joints.

KEYWORDS - Adhesive Bonding, Surface Treatment, Grinding FPL Etching Silane Coupling, Aluminum/CFRP

Adhesion



SURFACE PREPARATION OF THE AL 2024 ALLOY FOR ADHESIVE

BONDING OF AL CFRP USING FIBER LASER TREATMENT

ERHAN AKMAN1 , MUSTAFA OZGUR BORA2 , ONUR COBAN3 , BELGIN GENC OZTOPRAK4

1 Kocaeli University Faculty of Aeronautics and Astronautics, Turkey 2 Kocaeli University Faculty of Aeronautics and Astronautics, Turkey 3 Kocaeli University Faculty of Aeronautics and Astronautics, Turkey 4 Kocaeli University Faculty of Aeronautics and Astronautics, Turkey

ABSTRACT

Adhesive bonding is an alternative method for bonding dissimilar materials to traditional mechanical joining

techniques such as rivet or bolted joints, widely used in structural applications of aviation industries. In adhesive

bonding, surface preparation is one of the most important pre-treatments that need to be studied to improve the

adhesion quality. In this study, the surface of the Al 2024 sample has been prepared using fiber laser to obtain the

maximum single lap shear strength at Al/ CFRP adhesive joints. It is necessary to determine the optimum laser

parameters such as laser power, frequency and scanning speed for obtaining the better surface quality of

aluminium surfaces in order to bond to the CFRP. By this way, L9 orthogonal array Taguchi method (3 variables

and 3 levels) was used to determine the significance of variables and to reduce the number of experiments.

Furthermore, a statistical analysis of variance (ANOVA) was performed to determine which process parameter is

statistically significant for each laser parameter.

KEYWORDS - Adhesive Bonding, Laser Surface Treatment, Shear Strength, Taguchi Analysis



INVESTIGATION OF TOXIC METAL ADSORPTION PROPERTIES SILICA

GEL SUPPORTED CALIX 4 ARENE DINITRO DERIVATIVE

FARABI TEMEL1


ABSTRACT

Given the technological importance of toxic metals, their impact on environmental pollution and all creatures, it is

necessary to remove or recycle them from wastewaters. Therefore, in recent years, interest in chemical separation

techniques, synthesis and design of new chemicals for metal ions has increased greatly. To date, various methods

have been developed on the removal of toxic metals from their environment. Among many methods, the

adsorption process is widely used due to economical and easy. It is known that many natural and synthetic

materials are used as adsorbents. One of the advantages of the technology is the widespread production of

synthetic adsorbents used for toxic metal removal. As a synthetic adsorbent, supramolecular compounds are

widely used for the removal of toxic substances from the aqueous medium due to their adsorption abilities.

Among these studies, "calixarene" compounds, which have attracted the attention of many researchers and are

regarded as the third generation in supramolecular chemistry after cyclodextrins and crown ethers, have been

widely used as adsorbents or ligands in recent years. In this study, first the p-tert-butylcalix[4]arene dinitro

derivative was synthesized and then this compound was immobilized on silica gel to obtain polymeric material

and the polymeric material (DNC[4]GBS) was used as an adsorbent for the removal of toxic metals such as lead,

copper, iron, and aluminum from the aqueous medium. Their % adsorption values were found 99%, 65%, 83%

and 95% respectively.

KEYWORDS - Adsorption, Calix[4]arene, Toxic Metals.



PT DOPED 8 0 CNT A DFT STUDY OF FURAN DETECTION

NUMAN YUKSEL1 , AHMET KOSE2 , MEHMET FERDI FELLAH3

1 Bursa Technical University, Turkey 2 Bursa Technical University, Turkey 3 Bursa Technical University, Turkey

ABSTRACT

In this study, it has been investigated the use of the furan sensor at room temperature. WB97XD method with 6-

31G(d,p)/LanL2DZ basis sets have been used. The charge distributions obtained for structures show that charge

transfer has occurred from the adsorbed furan molecule to the Pt atom of carbon nanotube structure as an electron

acceptor. The HOMO–LUMO gap of the Pt doped SWCNT decreased with adsorbing of furan molecule. As a

conclusion, the electrical conductivity of Pt doped (8,0) SWCNT cluster increased after a furan molecule

adsorption. Accordingly, Pt doped (8,0) SWCNT has potential for sensing of furan molecule at room temperature.

KEYWORDS - DFT, CNT, Furan, Pt, Detection, Sensor



PRODUCTION OF CORK POLYMER COMPOSITES

MEFAIL KOCAL AKTEPE1 , H AYLIN KARAHAN TOPRAKCI2

1 Yalova University, Turkey 2 Yalova University, Turkey

ABSTRACT

- The automotive industry, which became one of the world's largest industries in the 1920s; has increased the

investments about mass production and service parts procurement. Increasing customer demands with the

development of technology has caused to opening of new search areas in the automotive industry. In these days,

cork composites are one of the main topics of conversation in automotive industry because of promising outcomes

such as lightness, cost reduction and fuel saving. Cork is a natural material with low density, good abrasion

resistance, good electrical and thermal insulating properties. Because it is easily processability, cork has been used

in different industries such as construction, aerospace, food, and etc. In this study, fabrication of cork-polymer

composites is given.

KEYWORDS - Cork, Polymer, Polymer Composites, Automotive Industry, Composite Production



MACHINABILITY CHARACTERISTICS OF MECHANICALLY ALLOYED

BRONZE MATRIX COMPOSITES DURING TURNING

EMIN SALUR1 , ABDULLAH ASLAN2


ABSTRACT

In this study, the mechanically alloyed bronze (CuSn10) matrix composite materials reinforced with 10 wt. % and

20 wt. % spheroidal cast iron (GGG-40) were produced by hot press. The turning experiments were conducted on

universal turning lathe without cutting fluid. The effects of the different reinforcement ratios on the cutting force

and the surface roughness of bronze matrix composites were investigated, and their effects were presented. The

test results revealed that the reinforcement ratio was the highly effective on the cutting forces and surface

roughness of the mechanically alloyed bronze metal matrix composites. In microstructure analyses, it was

observed that mechanical alloying occurred effectively, and the reinforcement material was homogeneously

distributed into matrix. It was found that as the reinforcement ratio increase cutting forces and surface roughness

increase. Since GGG-40 is a harder material than CuSn10, the power consumption required for material removal

increases because of increment GGG-40 amount in the structure. Considering effect of reinforcement ratio, higher

proportion of GGG-40 in the composite led to increase in surface roughness because GGG-40 particles were

relatively retained their form during the mechanical alloying and production process. The GGG-40 chips were

broken and ruptured from the surface rather than cutting during turning and it led to rougher surface

KEYWORDS - Mechanical Alloying, Bronze Matrix Composites, Reinforcement Ratio, Surface Roughness,

Cutting Forces



THE EFFECT OF MECHANICAL ALLOYING PROCESS ON

MICROSTRUCTURAL EVOLUTION AND MECHANICAL PROPERTIES OF

BRONZE MATRIX COMPOSITES

EMIN SALUR1 , ABDULLAH ASLAN2


ABSTRACT

In this study, the difference of mechanical alloying process compared to traditional production methods was

investigated. In this context, 10% spheroidal cast iron (GGG-40) reinforced bronze (CuSn10) matrix composite

materials were produced by two different methods and experimental studies were carried out on these specimens.

Firstly, metallic chips with a particle size of 1-2 mm were hot pressed under a pressure of 700 MPa and 500 oC

without the need for a second treatment. After, these metallic chips were subjected to mechanical alloying process

and hot pressed in the same production parameters. Microstructural evolution, porosity and hardness values of the

specimens produced by two different methods were compared. It was found that particle sizes decreased from 1-2

mm to 200 µm in the sample subjected to mechanical alloying process. According to optical microscope images, it

was observed that the broken relatively brittle particles (GGG-40) were homogenously embedded in the ductile

(CuSn10) matrix. This is due to the fact that ductile metal particles become flattened by ball--powder-jar

collisions and fracture of relatively brittle powders as a result of the severe plastic deformation which occurred

during mechanical alloying. It was found that there was a 29,9 % increment in hardness value and a 18,5 %

decrement in porosity of the mechanically alloyed sample compared to the directly pressed sample.

KEYWORDS - Mechanical Alloying, Bronze Matrix Composites, Mechanical Properties, Microstructural

Evolution



A SHADOW MASK IMPLEMENTATION FOR MEMS SENSORS

REQUIRING FORMATION OF A SENSING LAYER

SERDAR TEZ1 , MEHMET KAYA2

1 Pamukkale University Department of Electrical and Electronics Engineering, Turkey

2 Pamukkale University Graduate School of Natural And Applied Sciences, Turkey

ABSTRACT

This paper introduces fabrication of a shadow mask wafer. The formed shadow mask is a standard silicon wafer

having <100> crystal orientation, and its thickness approximately 300 µm-thick after fabrication process

completed. The formed aperture on the shadow mask as small as 37 µm, which can probably allow deposition of

different sensing layers on sensors.

KEYWORDS - MEMS, Silicon Based Shadow-Mask, KOH Etch, Sensing Layer Formation, DRIE



DESIGN AND ANALYSIS OF PI CONTROLLER BASED FOUR QUADRANT

DC MOTOR DRIVE WITH BIPOLAR AND UNIPOLAR SWITCHING

METHODS

KEMAL TUTUNCU1 , RECAI OZCAN2

1 Selcuk University Technology Faculty Department of Electric Electronics Engineering, Turkey

2 Selcuk University Bozkir Vocational School Department of Electric and Energy, Turkey

ABSTRACT

In this study, the closed loop speed control of the separately excited Direct Current (DC) motor controlled by a

four-quadrant DC motor drive circuit was performed in MATLAB / SIMULINK software. For this purpose, two

control circuits were designed using PI controller. The first one is the bipolar switching circuit and the second one

is the unipolar switching circuit. The control signals obtained from these circuits were applied to the single-phase

four-quadrant DC chopper power circuit to drive the separately excited DC motor at reference speed. Comparison

of the both switching methods has been implemented based on the data obtained from the simulation results of

four-quadrant operation of the DC motor. As a result of the comparison, it has been seen that output voltage and

frequency responses were better than the bipolar switching method (BSM) due to doubling of switching frequency

of output voltage of the unipolar switching method (USM).

KEYWORDS - DC Motor Drive, PI Control, Four-Quadrant Operation, Bipolar Switching, Unipolar Switching



DESIGN MANUFACTURING AND CONTROL OF MINI SIZE ROTARY

SWING COMPRESSOR

KEMAL TUTUNCU1 , SELMAN TASAR2


2 Adil Karaagac Technical High School, Turkey

ABSTRACT

Today, it is possible to find many types of compressors according to the manufacturing capacity and size.

However, the diversity for mini-size compressors is drastically reduced. It causes serious problems for small

systems where compressed air is needed. In this study, design and manufacturing of a mini-size rotary swing type

compressor were carried out in order to contribute to the solution of the related problem. In the phase of design,

the value of pressure to be created by the compressor and the energy to be consumed by it were calculated. After

the manufacturing was carried out by using industrial counters, various pressure experiments were performed on

the compressor. As a result of the experiments carried out by using brushless DC motor and semi-hermetic tank at

4000 rpm, the compressor operating with 23,7% efficiency created 6 bar pressure by consuming 120 W power.

The compressor manufactured for small systems will be able to be used easily in various sectors that can work up

to 6 bar pressure. By changing the piston size without changing the compressor size, high pressures such as 12-13

bar will be obtained and it will be possible to be used in many sectors including cooling systems.

KEYWORDS - Compressor, Rotary, Swing, Power, Cooling, Efficiency



SEGMENTATION OF CAPILLAROSCOPIC IMAGES

KEMAL TUTUNCU1 , MUSTAFA BUBER2


ABSTRACT

Capillaroscopy device shoot videos of capillaries of oral mucosa and nailfold of patient over the related skin

without any pain. The image frames of videos are used by experts for early detection or treatment of some

diseases such as diabetics, rheumatism and etc. Since this process is implemented in manually, decision support

systems that helps the experts for diagnosis have been subjects of studies of biomedical researches. First step of

these systems is the successful segmentation process on these images that will be used for classification of disease

depending on 8 parameters such as the number of capillaries in a certain area, the distance between the two

vessels, the size of the capillaries and etc. This study aims to contribute decision support system for experts by

presenting a successful segmentation. In this study Otsu, Fuzzy C-mean, Fast Marching, Region Growing and H-

Minima methods have been used for segmentation of capillarocopic images. The segmentation accuracy ratios of

upper mentioned methods were obtainedas %80,47, %67,44, %63,23, %44,11 and 96.76%, respectively. When

the results were examined, it was observed that the H-Minima method, which had not previously been applied in

capillary images, reached the highest accuracy parameter value.

KEYWORDS - Image Processing, Capillaroscopy, Capillary Video, Capillary, Segmentation, H-Minima Method.



INVESTIGATION ON EMISSION CHARACTERISTICS OF A COMMON

RAIL DIESEL ENGINE FUELED WITH JP8 DIESEL FUEL BLENDS

HULYA URLU1 , HASAN AYDOGAN2


ABSTRACT

JP-8, which is an aviation fuel, was accepted as a common military fuel towards the end of 1980s by NATO

countries. JP-8 containig 99.8% kerosene is blended with various additives to make it suitable for military

applications. As the basic substance of JP-8 fuel, kerosene flares at high temperatures directly increases aircraft

safety and freezing point is around -49 ° C. In this study, the effects of jp-8 and diesel fuel mixtures on engine

emissions were investigated experimentally. A 4-cylinder, four-stroke, turbocharged diesel engine with common

rail fuel system was used for this purpose. 5% JP8 was added to diesel fuel. It was used as a fuel in the engine and

the obtained values were analyzed according to the diesel fuel. According to the test exhaust emission

characteristics were investigated and compared with the reference diesel fuel. While CO and smoke emissions

increased, NOx emissions decreased with JP-8 blends when compared with diesel fuel.

KEYWORDS - JP8, Engine Emissions, Diesel Fuel, Common rail fuel system



VIBRATION FATIGUE ANALYSES OF A CANTILEVER BEAM IN

TRANSPORTATION BASED ON MILITARY STANDARD

MEHMET SEFA GUMUS1 , MUHAMMED ARIF SEN2 , METE KALYONCU3

1 Konya Technical University, Turkey 2 Konya Technical University, Turkey 3 Konya Technical University, Turkey

ABSTRACT

This study includes the vibration fatigue analyses of a cantilever beam exposed random vibration while

transporting based on the specified military standard using Miner’s Cumulative Damage technique. The theory of

Miner is introduced in detail. Finite element model is used to obtain the stresses on the designed cantilever beam

under random vibration. Response Power Spectral Density is presented in graphical form at critical points. The

fatigue life of the cantilever beam is calculated by using the stresses obtained by random vibration analysis.

KEYWORDS - Miner’s Cumulative Damage, Vibration Fatigue, Military Standard, Power Spectral Density



PARALLEL DISASSEMBLY LINES WITH SOME CONSIDERATIONS

SEDA HEZER1 , YAKUP KARA2


ABSTRACT

Disassembly is the crucial process of the product recovery operations and it can be defined as removing the parts

of the discarded products through a series of operations. A disassembly line contains sequential workstations with

a material handling system. Disassembly line balancig problem (DLBP) is defined as assigning the tasks to the

workstations to minimize the number of workstations and to utilize the available resources as efficiently as

possible while meeting the demand for recovered parts. More than one parallel disassembly lines are balanced

simultanously to increase the efficiency and effectiveness. Balancing problem of these lines is called Parallel

Disassembly Line Balancing Problem. There are some considerations which complicate the disassembly. Negative

effects of these considerations can be reduced by considering parallel disassembly lines. In this study, these

considerations and PDLBP is simply defined and discussed and future directions are proposed.

KEYWORDS - Disassembly, Disassembly Line Balancing Problem, Disassembly Actions, Parallel Disassembly

Line Balancing Problem



INVESTIGATION OF EXERGY PERFORMANCE OF FLUIDS USED IN ORC

FOR WASTE HEAT RECOVERY FROM ALUMINUM PRODUCTION

PLANTS

ALI KAHRAMAN1 , REMZI SAHIN2 , SADIK ATA3


2 Kto Karatay University, Turkey 3 Kto Karatay University, Turkey

ABSTRACT

In this study, exergy analysis of Organic Rankine Cycle (ORC) technology applied in waste heat recovery from

aluminum production plants was carried out. Exergy performance of 20 organic fluids of different structure used

in high temperature applications of ORC was determined. Performance parameters were determined as recovered

exergy, total irreversibility and exergy efficiency of the system. n-hexane, n-octane, n-decane, n-dodecane, n-

nonane, n-heptane, isohexane, cyclohexane from the group of alkanes; benzene, ethylbenzene, toluene, m-xylene,

P-xylene, o-xylene from the aromatic hydrocarbons; D4, D5, MM, MDM, MD4M and HFE7500 fluids were

selected from the siloxanes group. With EES (Engineering Equation Solver) software, different models of turbine

inlet temperature ranging from 160 °C to 200 °C have been created. The waste heat source temperature of ORC is

240 oC. The effect of the turbine inlet temperature change on the exergy performance of the ORC was

determined. The recovered exergy values were determined for each fluid. The irreversibility values of the pump,

evaporator, turbine and condenser were determined, and the total irreversibility value was calculated. Then,

exergy efficiency of the system was determined according to the recovered and expended exergy values. Fluids

that achieve the best exergy efficiency were determined in each fluid group. In this study, it is determined how the

waste heat at different temperatures in aluminum production plants can be evaluated in best conditions by using

which fluid with ORC. Therefore, it is aimed to determine the optimum fluids that the system will work under

different waste heat temperatures.

KEYWORDS - Organic Rankine Cycle (ORC), Aluminum Plants, Waste Heat, High Temperature, Exergy

Performance



HYDROGEOCHEMICAL PROPERTIES AND POLLUTABILITY OF

NATURAL WATER RESOURCES IN WEST OF KONYA

GULER GOCMEZ1 , SARAH FAKHRULDDIN AHMED2

1 Konya Technical University Faculty of Engineering And Natural Sciences Department of Geological

Engineering, Turkey 2 Konya Technical University, Iraq

ABSTRACT

Freshwater resources are located in the west of Konya and about 6 km away (Figure 1). Beypınarı and Mukbil

resources were closed during AlaaddinKeykubat period. Dutlu spring catchment was built by Yavuz Sultan Selim

in the 16th century, and Çayırbağı spring catchment was built in 1902 by Konya Governor FeritPaşa. Spring water

has been transported to the city center by pipes in order to meet the water needs of the city. Since 1990, the water

of the spring has been given to 1000 fresh water fountains. In recent years, the structure of the resources within

the feeding area, social areas, ring road works and unimposed settlements affect the resources and cause water

pollution. Spring water temperatures 14-16 oC, flow rates 1.5l / s-51,l / s, pH 7.72-8.67 hardness 16-19 Fs, Total

dissolved matter amount is between 188-324 mg / l. The aquifer of the waters is Upper Cretaceous Çayırbağı

ophiolite and Hatip ophiolite complex and Lorasdağılimestones. Water is rich in Ca, Mg and HCO3 ions. In the

hydrochemical analyzes, Nitrate is between 3.52-10.44 mg / l, boron 25-66.5 mg / l, chromium is between 2.91-

3.55 mg / l and is above the limit values.. Due to the high permeability of the units around the springs and the

absence of a protective covering layer on the aquifer layer, all kinds of pollutants reach the source waters directly

and cause the water pollution. Protected areas around the welds and the precautions to be taken should be

followed and construction within the feeding area of the welds should not be allowed.

KEYWORDS - Konya, Source, Pollution, Catchment, Aquifer.



EVALUATION OF WIND SOLAR HYBRID RENEWABLE ENERGY

SYSTEMS USING LOSS OF POWER SUPPLY PROBABILITY

ALPER ECEMIS1 , HALIL DEMOLLI2 , MURAT GOKCEK3 , AHMET SAKIR DOKUZ4

1 Nigde Omer Halisdemir University, Turkey

2 University Of Prishtina, Albania 3 Nigde Omer Halisdemir University, Turkey 4 Nigde Omer Halisdemir University, Turkey

ABSTRACT

Renewable energy sources are one of the most popular and strong alternative to conventional energy generation

systems due to their availability at many locations, clean and cheap energy production capability, and relatively

lower operating costs. Although renewable energy systems are more preferable than conventional ones, they have

several weaknesses. One of the main weaknesses of renewable energy systems is that they could produce energy

when the renewable source is present, i.e. wind speed or solar irradiation. In the literature, hybrid renewable

energy systems are proposed to handle this weakness. In this study, we propose a method to determine hybrid

potential of candidate locations in terms of hybrid energy generation capacity. Wind and solar energy systems are

used as renewable energy sources, and several combinations of these systems are selected. The experimental

evaluation of the selected systems are performed on two selected locations in Turkey with two different load

demands. The experimental results show that one of the locations has better hybrid potential than other one in

terms of wind-solar renewable energy system.

KEYWORDS - Renewable Energy, Hybrid Energy Systems, Wind-PV Hybrid System



COOLING TOWERS DESIGNS AND APPLICATIONS

IRFAN UCKAN1

1 Van Yuzuncu Yil University Mechanical Engineering, Turkey

ABSTRACT

Cooling towers are one of the most important industrial equipment used in industrial facilities to discharge

unwanted process heat from heat exchangers to the atmosphere through cooling water. The phenomenon of heat

exchange in the cooling tower has a complex structure involving simultaneous heat and mass transfer. Reuse and

for environment, cooling of hot waste water and process water is important. There are many factors affecting

cooling tower performance. The main factors affecting cooling tower performance are air flow, water flow,

cooling load, incoming air conditions, water temperature and tower design. The aim of the study supported by the

BAP department of Van Yuzuncu Yil University with FAP-2019-8610 project name aims to examine the studies

and researches about cooling tower in order to make cooling towers used in industrial facilities more economical

and efficient and to increase efficiency and power saving.

KEYWORDS - Cooing Towers, Heat Rejection, Evaporation, Tower Design



AN INVESTIGATION ON ROLL IN FORMATION IN HEMMING

OPERATION

SELIM GURGEN1

1 Eskisehir Osmangazi University, Turkey

ABSTRACT

Roll-in formation, which is an inward motion of hemming line, is an inevitable phenomenon in roller hemming

operations. Therefore, it results in a visual defect along the closures on the products. However, it can be controlled

by tuning the process parameters such roller diameter, flange height, hembed overhang and bending angles.

Tailoring the bending angles in roller hemming process is one of the most important method to overcome

excessive roll-in formations. Restricting the roll-in formation in curved regions is highly tedious in comparison to

straight edge parts. For this reason, a curved edge model was built and roll-in formation in this geometry was

investigated in the presented study. A bake hardening steel, BH220, was selected for the hemming components

and the material data was taken from the software library. BH220 is extensively used in automotive industry

especially in the automobile skins. Three different bending angle pairs were selected to close the flange angle of

100° in a two-stage roller hemming process. A 15 mm diameter cylindrical roller was utilized in the designed

operation. Based on the results, it is better to divide the flange angle into equal amounts to complete the hemming

process because this lowers the accumulated strains in the hemming zone and thereby avoiding sudden fracture

due to excessive plastic deformation. For this reason, the bending angle pair of (50º/50º) yields the minimum roll-

in values since the flange angle was 100º in our numerical work. For the (50º/50º) process, the roll-in values were

found as 0.254 mm and 0.284 mm after the pre-hemming and final hemming respectively.

KEYWORDS - Hemming, Roll-In, Metal Forming



SPALL LINER COMPOSITES FOR ARMORED VEHICLES

SELIM GURGEN1


ABSTRACT

Spall liner is an essential protective structure in armored vehicles. This structure is designed for interior usage in

the vehicles and protects the crew from spalling in case of penetrating threats. Spall liner systems use soft

composites which are made from various kinds of high performance fibers. Soft composites also serve as interior

lining for the vehicle as well as providing flexibility during an impact and thereby stopping the spalling from

emission to the crew cabin. This study gives an overview of spall liner and utilized materials in this structure.

KEYWORDS - Spall Liner, High Performance Textiles



DESIGN OF SMALL SCALE FIRE EXTINGUISHING ROBOTS FOR

EDUCATIONAL PURPOSES

HAKAN TERZIOGLU1 , ABDULLAH CEM AGACAYAK2 , GOKHAN YALCIN3 , SULEYMAN NESELI4

1 Konya Teknik University, Turkey 2 Konya Teknik University, Turkey 3 Konya Teknik University, Turkey


ABSTRACT

The security of houses, laboratories, offices, factories and buildings in every area where people live their lives is

at the forefront. Due to the silent occurrence of the fire and the flammability of the goods used in the places where

people live, the fire starts and spreads rapidly. It is quite difficult and time consuming to extinguish and cool the

environment after fires that have not been intervened in time. The first precautions to be taken in the fight against

fire are taking measures to prevent the occurrence of the fire and extinguishing by intervening in the shortest time

and time as soon as the fire event starts. Today, firefighters, which are fire extinguishing units, are often notified

after the fire is seen, and the time taken for them to come to the scene often leads to the loss of property, serious

injuries, and death or serious injuries to people throughout their lives. In order to avoid these irreparable disasters,

technology offers innovations to people. Fire extinguishing systems that are used in public places today are both

costly and can spread water to large areas rather than the place where the fire spreads, causing damage without the

need to be affected by the surrounding water. For this reason, in our study, a prototype fire extinguishing robot

was designed in order to intervene in the place where the fire spread with minimum damage and as soon as

possible. The robot is approximately 15 * 25 * 15 cm in size. There is progression, drive system, software

development system and fire detection system with sensor on it, avoiding obstacles with distance sensor. We

design the fire detection system using two flame sensors in the fire fighting robot. Thus, 180⁰ angle fire screening

can be done. We design the fire detection system in the fire fighting robot and program the fire detection and

combat procedure using a sensor-based method. The robot overcomes the obstacles and detects the fire with the

flame sensor and can approach the fire with the driver system. Two methods are used for intervention. In the first

method, the water in the water tank squeezes water from the hard hose and pump motor on fire. In the second

intervention method, it tries to extinguish by reducing the effect of fire by providing air flow over the fire with the

motor and propeller connected to the front of the robot. A modular low-cost fire prevention design is designed

using the IR sensor and ultrasonic sensor in the robot. In the future studies, when the robot detects the fire, it is

thought that it can be made more useful by adding the design to the building authority and fire crews while

informing the building authority and firefighters on the other hand by means of communication modules.



DETERMINATION OF SOME PARAMETERS FOR INFRARED FREE

ELECTRON LASER

SUAT OZKORUCUKLU1 , SERAP YIGIT GEZGIN2


ABSTRACT

In this study, the peak magnetic field (Bo) and the force parameter (K) have been calculated based on the gap

between poles of U90 undulator to be used for IR-FEL intended to be produced in Turkish Accelerator Center. It

has been shown that the gap between the poles of the undulator increases and the Bo and K values decrease. The

wavelength range of the radiation produced in U90 undulator and U30 undulator with a shorter period length

which were calculated, and the graphs of the wavelength range vs the gap of the undulator were obtained and

interpreted for the electron beam with energy of 20 MeV and 40 MeV. The radiation with shorter wavelength is

produced by decreasing the energy of the electron beam, the period length, and the gap of the undulator. In the

this study, by the energy of the electron beam entering in to the undulator, the undulator gap and the period length

which are adjusted at appropriate values, it has been shown that the radiation can be produced in the wavelength

range of 2.45µm-344µm by U90 an U30 undulators.

KEYWORDS - FEL, Undulator, IR, Radiation, Wavelength



IMPROVING THE TRIBOLOGICAL RESISTANCE OF INCONEL 600

ALLOY BY ELECTRODEPOSITION

HARUN MINDIVAN1

1 Bilecik Seyh Edebali University Engineering Faculty Department of Mechanical Engineering, Turkey

ABSTRACT

An electrodeposition process was performed to improve the tribological resistance of Inconel 600 alloy. Nickel

(Ni) coating was electrodeposited on Inconel 600 alloy from a Watts electrolyte. The microstructure of the coating

was investigated using SEM and XRD. The mechanical property of Ni coating was studied by microhardness

tester. The tribological behavior of Inconel 600 alloy and pure Ni coating was revealed, using a reciprocating ball-

on-plate tribometer. Pure Ni coating exhibited a distinctly low friction coefficient and a small wear rate as

contrasted with Inconel 600 alloy.

KEYWORDS - Coating, Electrodeposition, Inconel 600 Alloy, Nickel, Tribology



THE CONTROLLING PARAMETERS EFFICIENCY TO QUALITY IN

BISCUIT PRODUCT PROCESS

BEKIR CIRAK1 , MEHMET ONUR OGULATA2 , SEZGIN ESER3 , ONUR SARIKAYA4 ,

ABDULLAH OZDAL5

1 Engineering Faculty Mechanical Engineering Department, Turkey 2 Engineering Faculty Mechanical Engineering Department, Turkey 3 Engineering Faculty Mechanical Engineering Department, Turkey

4 Graduate School of Natural and Applied Sciences Mechanical Engineering Master Science, Turkey 5 Graduate School of Natural and Applied Sciences Mechanical Engineering Master Science, Turkey

ABSTRACT

In this study biscuit process, cooking or oven temperature is controlled by PID controller. Because in the biscuit

production process, the cooking temperature directly affects the quality of the biscuit. The PID controller is

designed to monitor the effects of Kp, Ki, Kd coefficients on the system response and the most suitable PID

controller for the system. The effect of each coefficient on the response of the given unit was observed.

Simulation is modeled using MATLAB Simulink software. For each simulation, the input and output signals are

compared and time graphs of the control signal are generated. Graphs are also interpreted.

KEYWORDS - Biscuit, Quality, Process, PID Control



DESIGN AND CONSTRUCTION OF COMPACT CNC ROUTER

GOKHAN YALCIN1 , SULEYMAN NESELI2 , HAKAN TERZIOGLU3 , ABDULLAH CEM AGACAYAK4

1 Konya Teknik University, Turkey

2 Selcuk University, Turkey 3 Konya Teknik University, Turkey 4 Konya Teknik University, Turkey

ABSTRACT

3 axes CNC milling machine design and produce is important for creating advanced parts in industry. Designed

and builded CNC router machine has single rotational speed and 3 axes movement ability. For motion on three

axes to cutting operation it can be used three stepper motors. For providing machine rigidity has been used

grinding bars and its suitable accuracy bedding. The generation of G codes has been made using Grbl Controller.

The interaction with computer has been operated via Arduino. Motion capacity of head for X, Y and Z are

300x350x140 mm. Also there is no tool magazine so change of the tools can be performed by hand, easily. The

construction of main body material is aluminum sigma profile with cross section of 20x20 mm. This machine can

be used for cutting operation of polyamide, electrical circuit card and wooden materials to confidence.

KEYWORDS - Arduino, CNC, Milling Machine, Router, Stepper Motor



INVESTIGATION OF EXHAUST EMISSIONS FROM A DIESEL ENGINE

FUELLED WITH BIODIESEL DIESEL BLENDS

ABDULLAH ENGIN OZCELIK1 , HASAN AYDOGAN2 , MUSTAFA ACAROGLU3 ,

MUBERRA NUR KILICARSLAN4



ABSTRACT

Energy production is heavily dependent on fossil fuels that are not only diminishing, but also are considered the

main cause of harmful emissions and global warming. Therefore using vegetable oils as alternative fuels in diesel

engines has drawn a great attention. Trans-esterified vegetable oil derivatives also called ‘biodiesel’ appear to be

the most convenient method of utilizing bio-origin vegetable oils as replacement fuels in diesel engines. In the

present study, biodiesel was prepared from 60% canola, 20% sunflower, 20% safflower through the trans-

esterification process. The emission characteristics were compared in an unmodified diesel engine.

KEYWORDS - Biodiesel, Engine Emission, Diesel Fuel



INVESTIGATION OF VIBRATION EFFECT OF VEHICLE ENGINE ON

CHASSIS

ABDURRAHMAN KARABULUT1 , HAKAN SAHMAN2 , ISA AKKUS3

1 Afyon Kocatepe University Faculty of Technology Mechanical Engineering Departman, Turkey

2 Afyon Kocatepe University Institute of Natural and Applied Sciences Mechanical Engineering Departman,

Turkey 3 Danet Et Isletmeleri Afyonkarahisar, Turkey

ABSTRACT

In vehicles, the oscillating motion of the engine affects the chassis. In order to prevent the vibration transmitted by

the engine to the chassis of the vehicle, it is aimed to reduce the vibration to the chassis by using vibration wedges

in the connection between them. In this study, the displacement and acceleration values of the engine and chassis

were measured simultaneously with the help of a four channel Datalogger. According to the graphs obtained, the

engine speed is directly proportional to the amount of vibration produced. This causes serious discomfort to the

driver and passengers in the vehicle. In order to prevent this, the vibration between the engine and the chassis is

tried to be prevented by using damping elastic material. Thanks to the damping wedge used, it has been observed

that the transmission of the engine vibration to the chassis is reduced by approximately 50%. It is seen that the

spring coefficients are proportional to the engine speed due to the liquid in the structure of the hydraulic wedges.

It is observed that the spring coefficient decreases at low speeds. In addition, it was observed that vibration

amplitude increases at low engine speeds and vibration amplitude decreases at high engine speeds. When the

numerical values of the new and used vibration wedges used in the study were taken into consideration, it was

found that the new vibration wedge was a better insulating material than the used wedges.

KEYWORDS - Vibration, Engine Vibration, Engine Vibration Damping, Engine Vibration Wedges



EFFECT OF VEHICLE SPEED AND MASS ON VIBRATION DAMPING

ABDURRAHMAN KARABULUT1 , HAKAN SAHMAN2 , UMIT CAN3

1 Afyon Kocatepe University Faculty of Technology Mechanical Engineering, Turkey

2 Afyon Kocatepe University Institute of Natural and Applied Sciences, Turkey 3 Afyon Kocatepe University, Turkey

ABSTRACT

Vibrations to the driver and passenger have been a problem in vehicles due to road roughness. Driver and

passengers are adversely affected by these vibrations. The vibration forces that the vehicles take from the ground

while traveling are damped with the suspension system in the vehicle and the remaining part is transmitted to the

driver and passengers. In this study, one and two degree of freedom car model is studied. Calculations were made

in Matlab and LMS Amesim and the results were shown on the graph. Displacement and frequency values of the

behavior at two different masses and four different speeds were found in a single degree of freedom car model.

Two degree of freedom car models are given and motion differential equations are formed and state variables are

defined. Matlab program was prepared according to the state variables. In the LMS Amesim software, two degree

of freedom quarter car system is modeled. In addition, parameters have been assigned and graphs have been taken

on a single degree of freedom model. The effect of vehicle speed on displacement is seen in the graphs. As a

result of the analysis of the graphs, it is seen that there is an important link between mass and natural frequency. It

was found that there was an inverse ratio between mass and natural frequency. However, the natural frequency

varies with the broadcast constant used in the suspension system. It has been observed that the natural frequency

increases with increasing spring constant. According to the values found, the suspension system plays a very

important role in controlling the vehicle mass. It has been concluded that the mass, spring and damping element

on the suspension system must consist of appropriate values to achieve the desired movement.

KEYWORDS - LMS Amesim Sofware, Vehicle Vibrations, Road Roughness, Acceleration and Speed Chart,

Vibrations Analysis, Matlab



SELECTION OF A THIRD PARTY REVERSE LOGISTICS PROVIDER BASED

ON VIKOR

TOLGA GEDIKLI1 , BEYZANUR CAYIR ERVURAL2

1 Konya Food and Agriculture University, Turkey 2 Konya Food and Agriculture University, Turkey

ABSTRACT

Return of used products is becoming an important logistics activity to protect the environment and reduce waste

products. For companies, the management of return flow often requires a special infrastructure. Since this

infrastructure is an extra cost for the company, they are turning to third-party reverse logistics providers (3PRLP).

However, the availability of more 3PRLPs makes it difficult to evaluating and selecting the most efficient

3PRLPs. The problem of 3PRLP selection is considered a multi-criteria decision making (MCDM) problem

because the problem involves a number of difficulties, such as uncertainty and complexity. In this study, the

VIKOR method, which is one of the MCDM methods, is used for the selection of the best 3PRLP. Finally, the

application of the VIKOR method with a numerical example is performed.

KEYWORDS - Third-Party Reverse Logistics, Reverse Logistics, Multi-Criteria Decision Making, VIKOR.



COMPUTATIONAL INVESTIGATION OF TURBULENT FLOW IN SINGLE

SIDED BACKWARD FACING STEPS

TAHIR KARASU1


ABSTRACT

The present original paper deals with computational investigation of steady, incompressible, two-dimensional,

separating and reattaching turbulent flow in single-sided backward-facing steps at three different Reynolds

numbers. Employing the finite-volume method with a hybrid scheme, a computer program based on the SIMPLE

(Semi-Implicit Method for Pressure Linked Equations) algorithm has been developed. Numerical solution of the

conservation equations of mass and momentum, together with the standard k-epsilon turbulence model, are

obtained using an iterative numerical solution technique. Near the solid boundaries, wall-functions are employed.

Numerical predictions for local streamwise velocity, turbulence kinetic energy, turbulence kinetic energy

dissipation rate, effective viscosity profiles, locus of flow reversal, bottom wall static-pressure coefficient, wall-

shear stress and friction coefficient distributions along top and bottom walls of the single-sided backward-facing

step flow configurations are presented and compared with experimental measurements. The results of

computational investigation are in generally good agreement with experimental data.

KEYWORDS - Turbulent Backstep Flow, k-e Turbulence Model, Predictions



EFFECTS OF SURFACE ROUGHNESS ON STRENGTH OF ADHESIVE

JOINTS

ABDULLAH ASLAN1 , EMIN SALUR2 , MUSTAFA KUNTOGLU3


ABSTRACT

Adhesives are often used both in the production of composite materials and as joint element. Adhesives can be

used in order to adhere different materials such as steel-aluminum, aluminum-composites, metal-woods…etc.

Although there are a lot of parameters which can affects the bond quality, one of the most important parameters is

surface roughness. Surface roughness values may vary according to the type of surface to be bonded. There are a

lot of surface preparation techniques which can be used in adhesive joints. In this study, surface roughness values

of adhesive surfaces were determined and optimized in aluminum-aluminum joints. Etching method was used as

surface preparation techniques. After the surfaces were prepared, surface roughness measurements were occurred.

In addition, micro structure views were taken from the surfaces by the help of optical microscope. It is said that

optimal surface roughness values (Ra) were determined as approximately Ra=2.91 µm for aluminum-aluminum

joints. Similarly, Rz µm values were measured as 12.1 The highest strength was obtained via etching method.

KEYWORDS - Adhesives, Adhesive Joints, Surface Roughness, Surface Treatments



TAGUCHI BASED OPTIMIZATION IN HIGH SPEED TURNING

ABDULLAH ASLAN1


ABSTRACT

Turning is one of the most widespread and basic machining method. There are a number of expectations from the

turning process such as, high efficiency, low cutting forces, low tool wear, long-term tool life …etc. However,

one of the most significant machining output is quality of machined surface. The machined surface quality can be

evaluated by means of surface roughness parameters such as Ra and Rz. Surface roughness parameters not only

gives information about the workpiece but also about the tool. Therefore, if the machining parameters can be

optimized sensitively, both effective tool condition monitoring and workpiece with desired surface quality can be

obtained. In this work, optimization of the surface roughness has been realized during the turning of 5140 steel

material under dry cutting conditions. Taguchi L8 orthogonal array design based 8 experiments were performed

with 2-level parameters (cutting speed, feed rate, depth of cut and approaching angle) and statistical analysis was

carried out with ANOVA. 3 different measurements were taken from the beginning, middle and at the end of the

workpiece in order to provide measurement reliability. Detailed investigation of results showed that both Ra and

Rz are affected from depth of cut mostly (25% and 27%). After that, the cutting speed (21%), feed rate (16% and

17%) and approaching angle (25% and 27%) have significant contribution on surface parameters Ra and Rz

respectively.

KEYWORDS - Surface Roughness, Taguchi design, AISI 5140, Turning



A GROUP DECISION MAKING APPROACH UNDER FUZZY

ENVIRONMENT FOR MACHINE TOOL SELECTION

BEYZANUR CAYIR ERVURAL1


ABSTRACT

Determination of appropriate machine tools in a manufacturing company is an important and complex decision-

making problem since the problem inherent quantitative and qualitative attributes besides diverse conflicting

selection criteria. In the multi-dimensional and ambiguous structure, fuzzy multi-criteria decision-making

methods provide flexibility and easiness to obtain an ideal ranking of the alternatives. In this study, classical

group decision-making methods (GDMM) and fuzzy GDMMs are applied to select and rank the machine tools

under different factors. Then the obtained results are compared to each other to show the methods’ advantages and

weaknesses.

KEYWORDS - Group Decision Making, Fuzzy Sets, Machine Tool Selection



SURVEY OF ENGINEERING STUDENTS COGNITIVE LEVEL OF

INDUSTRY 4 0

HAKAN SAHMAN1 , ABDURRAHMAN KARABULUT2 , MEHMET AKIF SAHMAN3 , MURAT

KOKLU4 , KEMAL TUTUNCU5

1 Afyon Kocatepe University Institute of Natural and Applied Sciences Mechanical Engineering Department,

Turkey 2 Afyon Kocatepe University Faculty of Technology Mechanical Engineering Department, Turkey

3 Selcuk University Faculty of Technology Electrical and Electronics Engineering Department, Turkey 4 Selcuk University Faculty of Technology Computer Engineering Department, Turkey

5 Selcuk University Faculty of Technology Electrical And Electronics Engineering Department, Turkey

ABSTRACT

Growth on the world is slowing down and this is emerging as a very important issue. The growth of the global

economy stops. In fact, this is not a new situation. The growth of the economy has been decreasing for 50 years.

Growth matter a lot. As a result, a new industrial revolution began in 2011. This new production revolution is

called Industry 4.0. Industry 4.0 is known as the interaction between the physical and cyber worlds. In other

words, mechanical systems and cyber systems can work together and communicate within themselves to produce

flexible production at optimum level. This allows us to produce economical, quality and flexible production in

less time. The greatest need for countries to move their production systems to the Industry 4.0 platform is the need

for trained personnel, especially in engineering fields. Students must be trained in the fields of engineering in

accordance with the new industrial revolution. In this study, a questionnaire was applied to measure the cognitive

level of engineering students about Industry 4.0. The target engineering areas of the survey are Mechanical,

Electrical-Electronics, Mechatronics and Computer engineering.

KEYWORDS - Industrial Revolutions, Industry 4.0, Survey, Engineering Studenst, Cognitive Level, Cyber and

Physical Worlds



TOOL CONDITION MONITORING WITH SENSOR FUSION IN TURNING

AISI 5140

MUSTAFA KUNTOGLU1 , ABDULLAH ASLAN2 , HACI SAGLAM3

1 Faculty of Technology, Selcuk University,Turkey

2 Faculty of Technology, Selcuk University, Turkey 3 Faculty of Technology, Selcuk University, Turkey

ABSTRACT

The existence of high temperature and pressure make cutting area highly hard-to-access in machining operations.

The changes occurring at workpiece-cutting tool contact should be monitored in turning operations. A tool

condition monitoring system (TCMS) embodies sensors, data acquisition unit and data processing software. Also,

sensors providing consistent information with each other generate sensor fusion. This paper aims to investigate

surface roughness parameters (Ra and Rz) via resultant cutting force and vibration during dry turning of AISI

5140 material. Experimental data and statistical analysis outcomes demonstrated that to achieve the optimum Ra

and Rz, higher cutting speeds and lower feed rates should be selected. Cutting speed is the most effective about

49% and 61% while feed rate have influence about 36% and 28% on Ra and Rz respectively. Newly produced

surface reflects directly the condition of cutting tool and indirectly cutting forces, tool tip temperature, chatter

vibration etc. As a result, the findings for optimizing surface roughness were verified with vibration and resultant

cutting force analysis impressed mostly from cutting speed (66%) and feed rate (61%) respectively. Finally,

vibration and resultant cutting force data comprises reliable and robust sensor fusion according to regression

analysis result (90,8% for Ra and 89,1% for Rz).

KEYWORDS - Tool Condition Monitoring, Sensor Fusion, Vibration, Cutting Force, Surface Roughness



A COMBINED FUZZY LOGIC AND OPTIMIZATION APPROACH FOR

TOOL WEAR IN SURFACE MILLING

MUSTAFA KUNTOGLU1 , HACI SAGLAM2

1 Faculty of Technology, Selcuk University, Turkey 2 Faculty of Technology, Selcuk University, Turkey

ABSTRACT

It is important to monitoring of on-line tool condition to determine optimized machining parameters and obtain

reduced costs in industrial applications. Tool wear affects surface quality and accuracy of workpiece which stands

ultimate aim of a production line. Artificial intelligence methods provide prediction of machining performance

with reduced experiments and contribute to enhancing of productivity. In this work, a combined statistical

analysis (ANOVA) and fuzzy logic approach is implemented into surface milling operation to obtain minimum

tool wear state with minimum experiment. Experiments were performed in dry cutting conditions and cutting

speed, feed and depth of cut were chosen as input parameters. A Mamdani-Type fuzzy logic based model was

developed and compare with the experimental results. The results showed that the developed model is reliable

(R2=0.9) and successfully implemented to similar applications. Finally, the most effective machining parameter

(feed rate with 50%) on tool flank wear and optimal milling parameters (v1=113 m/min, f2=250 mm/min, d3=2.5

mm) were determined with statistical analysis using data obtained from experiments. The aim of the study is

obtaining of high quality materials with high efficiency and low costs.

KEYWORDS - Tool Wear, Tool Condition Monitoring, Analysis of Variance, Fuzzy Logic, Taguchi Method



INVESTIGATION OF THE COMBINED TLC ORC AND THE COMBINED

ORC ORC POWER SYSTEMS

MEHMET OZCELIK1 , NAGIHAN BILIR SAG2

1 Konya Technical University of Graduate Education Institute, Turkey


ABSTRACT

Abstract - One of the best performances in waste heat and power generation systems is the organic Rankine cycle.

The difference of the Organic Rankine Cycle from the basic Steam Rankine Cycle is the use of organic fluids as

the working fluid. Power generation can be achieved from low temperature heat sources (80-90oC) with organic

fluids. In this study, studies on dual loop combined power systems and system structures were investigated. As a

result of the investigations, it was concluded that higher thermal efficiency and lower exergy destruction were

obtained from combined Trilateral Cycle-Organic Rankine Cycle power system.

KEYWORDS - Organic Fluids, Organik Rankine Cycle, Trilateral Cycle, Combined Power Systems.



INVESTIGATION OF VELOCITY MEASUREMENTS ON SPILLWAY BY

CFD MODELING

OZNUR KOCAER1 , ALPASLAN YARAR2

1 Batin Universty, Turkey

2 Konya Tecnical University, Turkey

ABSTRACT

In recent years, the versatility, reliability and practicality offered by CFD have led to intensive use by the water

engineering community. The reliability of the simulations created by the blending of advanced digital techniques

with the great advances in computer technology has increased considerably. CFD models can be programmed

using many different programs. Especially in recent years, open source programs are preferred by the users due to

the fact that the desired library add-ons can be made easily and unlike commercial package programs, they are

free. With the Openfoam open source numerical model program, the surface profile and velocity of the hydraulic

jump in the spillway and the other three points were investigated numerically for different current conditions.

Based on the results of the research, CFD techniques have proven to be highly reliable in measurements.

KEYWORDS - Computational Fluid Dynamics, Numerical Analysis, OpenFoam



EFFECT OF GLASS FIBER ADDITIVE ON SOIL STRENGTH PROPERTIES

OF HIGH PLASTICITY CLAY SOILS

SEHNAZ AYSU1 , MUSTAFA YILDIZ2


ABSTRACT

High plasticity clay soils swell when contact with water and shrink when dry. Due to this swelling and shrinkage

behavior of soil, damage occurs to structures. Therefore, stabilization is very important for high plasticity clay

soils. Soil problems are solved using different stabilization methods. These methods are soil improvement

methods with and without additives (cement, lime, fly ash etc.). However, these methods usually require long

curing time and excess material for large scale improvement. Therefore, researchers have turned to new

alternative materials to be used in soil stabilization. One of these materials is glass fiber. Glass fibers; hardness,

corrosion resistance, and not to react with chemicals. In this study, the effect of glass fiber additive on the strength

of high plasticity clay soils were investigated. Thus, soil classification tests were performed and compaction test

was performed to determine optimum water contents of the soil. Test samples were prepared at optimum water

content and as saturated soil in two different parameters of with and without additives. Samples with additives

were prepared by adding Glass fiber in ratio of (0.25%, 0.5%, 0.75%, 1%, 1.25%, and 1.5%) to the amount of

clay. Unconfined compression tests were performed on the samples prepared at optimum water content and as

saturated samples. Consequently, the strength of the samples with glass fiber additives were compared to the

samples without additives. As a result, the use of glass fiber for improving soil properties was investigated and the

optimum mixing ratios were determined.

KEYWORDS - High Plasticity Clay Soil, Soil Stabilization, Glass Fiber, Optimum Water Content, Unconfined

Compression Test.



INVESTIGATION OF STRENGTH PROPERTIES OF DIFFERENT CEMENT

TYPES ON SANDY SOIL

ALICAN SENKAYA1 , MURAT OLGUN2

1 Civil Engineering, Konya Technical University, Turkey 2 Civil Engineering, Konya Technical University, Turkey

ABSTRACT

In this study, strength performance of DMFC-800 fine-grained cement, CEM I Portland cement, CEM II

composite cement and CEM III slag admixtured cement on sandy soil were investigated. Cement mortars in

different W/C ratios were prepared and mixed with sandy ground. Unconfined compressive strength (UCS) tests

were performed at the end of curing periods of 7,28 and 56 days. Fine-grained cement showed early strength and

was the best tolerant cement type for excess water. Admixtured cements gave better results than CEM I cement in

the long term.

KEYWORDS - Cement Grout, Soil Stabilization, Blast Furnace Slag, Pozzolanic Additives, Microfine Cement.



PERMEABILITY AND COMPACTION PROPERTIES OF RECYCLED

CONCRETE AGGREGATES AS GRANULAR ROAD BASE AND SUB BASE

MURAT OLGUN1 , EKREM BURAK TOKA2


ABSTRACT

Recycled concrete aggregates (RCA) can be used as granular road base (GRB) and granular road sub-base

(GRSB) in highway constructions. Thus, the use of RCAs which are waste materials contributes to sustainable

economy. But RCAs must meet certain requirements for use in GRB and GRSB. Adequate drainage capability,

which is one of these conditions, is important for draining surface water. In this study, drainage capabilities of

RCAs produced from concrete from 3 different buildings were compared with crushed aggregate (CA) and natural

aggregate (NA). In order to carry out the tests, 23 different designs consisting of mixture and pure forms of the

materials were established. The permeability tests were carried out with falling head and constant head

permeability equipment to evaluate permeability coefficients. The samples were prepared in the permeability

molds by compression at maximum dry unit weight (ɣkmax) and optimum moisture content (wopt), which are the

compaction parameters obtained from modified Proctor test. For this reason, wopt and ɣkmax were determined by

modified Proctor test before conducting the permeability tests. As a result, it was observed that RCAs had higher

wopt values and lower ɣkmax values than the NA and CA. It was determined that the permeability coefficients

obtained by the permeability tests of the NA were very low and the permeability coefficients of the CA and RCAs

were close to each other and higher than the NA. The fact that the RCAs had a permeability coefficient close to

the CA indicates that drainage capability can be sufficient if RCAs are used in GRB and GRSB.

KEYWORDS - Recycled Concrete Aggregate, Granular Road Base, Granular Road Sub-Base, Permeability

Coefficient, Compaction



PHYSICAL PROPERTIES OF RECYCLED CONCRETE AGGREGATES AS

GRANULAR ROAD BASE AND SUB BASE MATERIAL

EKREM BURAK TOKA1 , MURAT OLGUN2


ABSTRACT

Recycled concrete aggregates (RCA) are obtained from waste concretes which are emerged as one of the

construction and demolition wastes. As in many fields of civil engineering, the use of RCAs as granular road base

(GRB) and granular road sub-base (GRSB) material eliminates their adverse effects such as big landfill area needs

and environmental pollution and contributes greatly to economic sustainability. However, in order for these

materials to become GRB and GRSB material, they must comply with the technical specifications. In this study,

the suitability of RCAs to the conditions of GRB and GRSB was investigated by flakiness index, particle density

and water absorption, Los Angeles (LA) abrasion and magnesium sulfate soundness tests. 3 different RCAs were

obtained by crushing the concrete blocks of the debris of the demolished buildings. Natural aggregates (NA) and

crushed aggregates (CA) were used to compare the RCAs with conventional aggregates. Tests were carried out for

23 different designs, which were formed with pure forms of these 5 different materials and their mixtures in

certain proportions. As a result of the tests, it was found that the RCAs had very good properties in terms of

flakiness index. It was found that the RCAs had lower particle density and higher water absorption values than the

conventional aggregates. For LA abrasion and magnesium sulfate soundness tests, too much material loss was

observed for the RCAs, which shows that the RCAs are in some cases disadvantageous. However, the poor

properties of the RCAs largely eliminated by mixing them with the CA and NA.

KEYWORDS - Recycled Concrete Aggregate, Granular Road Base, Granular Road Sub-Base, Physical Properties



STABILITY OF LAYERED CYLINDRICAL SHELLS WITH FGM INTERLAYER

SUBJECTED TO COMBINED LOAD UNDER MIXED BOUNDARY

CONDITIONS

R P BAYRAMOV1 , A H SOFIYEV2 , F DIKMEN3

1 Department of Automobile Transportation and Organization of Transport, Azerbaijan

2 Department of Civil Engineering Suleyman Demirel University, Turkey 3 Student of Graduate School of Natural And Applied Sciences of Suleyman Demirel University, Turkey

ABSTRACT

In this study, the stability of functionally graded (FG) layered cylindrical shells (LCYLSs) with mixed boundary

conditions under the combined load (combination of lateral and axial loads) is investigated. The fundamental

relations and governing equations of functionally graded three-layered cylindrical shells consisting of an FGM

interlayer between ceramic and metal layers (MFGC-CYLS) are derived in the framework of Donnell-type shell

theory and solved using by Galerkin’s method. The expression for the critical combined load of MFGC-CYLSs

within the classical shell theory (CST) is found. Finally, the influence of the FGM interlayer on the values of the

critical combined load for MFGC-CYLSs is investigated numerically.

KEYWORDS - Layered Cylindrical Shells, FGM Interlayer, Stability, Combined Load, Critical Loads



EXPERIMENT INVESTIGATION OF INTERNET USE OF OBJECTS IN FIRE

DETECTION AND EXTINGUISHING SYSTEMS

OMAR YAWEZ MUSTAFA MUSTAFA1 , MUSTAFA ALTIN2

1 Technology Fakulty, Turkey

2 Konya Technical Universty, Turkey

ABSTRACT

Fire, one of the greatest inventions in the history of humanity, on the other hand, fire can lead to major disasters.

The human know that he was the only organism capable of controlling fire and was also aware of the magnitude

of disasters when he is unable to control it so he work to solve it by harnessing engineering information and

modern technologies. The fire explodes very quickly in very short periods so it was found that the fire detection

and rapid intervention to solve the problem before the exacerbation is critical. This project was practically tested

in a specially prepared room to measure the success rate and efficiency. The completed construction, fire alarm

and fire monitoring systems will be integrated into the Internet of Things (IoT) platform and necessary

instructions will be created by means of smoke, flame, visual motion and temperature sensors, and when the

system reaches that the result is fire, then, extinguishing systems will be started before the fire starts. The system

will fire the fire alarm with the sound and light in the right place during the first response to the fire and thus will

save time to evacuate people and save what they can from the important things they can in the building where they

are located. The system also sends a fire notification via the Internet to the emergency department by calling their

numbers or sending a notice on the location. The design here aims to determine the exact location of the fire

starting point through the sensors and aims to conduct the initial intervention in the target point to reduce its

spread. Since this system adopts wireless communication, it will be an important economic system that can be

used in industrial plants.

KEYWORDS - Fire, IOT, Internet of things, Wireless, Connection systems.



INVESTIGATION OF FLUID STRUCTURE INTERACTION WITH THE

COUPLING OF SPH AND FEM

A ERSIN DINCER1 , ABDULLAH DEMIR2

1 Abdullah Gul University, Turkey

2 Erzurum Technical University, Turkey

ABSTRACT

A coupling method between fluid and structure is proposed in this paper. There are two different domains are

solved with different methods. Fluid part is solved by Smoothed Particle Hydrodynamics (SPH) and structure part

is solved by Finite Element Method (FEM). Coupling between these domains is satisfied with and effective

method called Attachment. SPH particles are attached to finite element nodes on structure and forces applied to

the attached SPH particles by fluid domain is applied to the structure. Displacement on finite element nodes are

applied to the attached SPH particles. Thus, a two way coupling mechanism is achieved. This method is used for

investigations on a dam break problem. Capabilities of method is test via well-known dam break problem.

KEYWORDS - Smoothed Particle Hydrodynamics, Fluid-Structure Interaction, Finite Element Method, Coupling



DECISION PARAMETERS SUPPLIED BY MINING ENGINEERING

STUDENTS ARE THEY CREATIVE

MEHMET KEMAL GOKAY1

1 Technical University of Konya, Turkey

ABSTRACT

What is creative thinking and how it influence mining engineering students? This question needs to be answered

to analyze educational improvements in mining engineering departments. What can be reasonable answers if we

ask basic mining questions to the students who are not graduated yet. In order to determine students’ creative

thinking a survey study was performed. Total number of students who attended this study was 54. They were

students at different Grades of Selcuk University, Mining Engineering Department, Konya, Turkey. The survey

included one question and it was about the decision parameters for common mining engineering design. Students’

answers were filed according to their Grade and decision parameters. Their survey papers were evaluated in seven

different categories including one category for “creative ideas”. It was resolved that students had been influenced

by mining engineering lectures as it was expected. However, it was also concluded that, maximum influences of

mining related knowledge and information on these students had been realized at Grade 2 and Grade 3 levels of

the department. Parameters selected as the product of original thinking, creative brainstorming, of students were

also determined. It was determined that creative thinking in students had been decreased as their Grades in the

department are increased.

KEYWORDS - Education, Engineering Education, Creative Engineers, Real-World Engineering Applications.



ASSESSING THE SHEAR STRENGTH REDUCTION FACTOR IN

GEOPOLYMER CONCRETE BEAMS WITHOUT STIRRUPS

MEHDI OZTURK1 , GURAY ARSLAN2 , SEMA ALACALI3

1 Yildiz Teknik Universitesi, Turkey 2 Yildiz Teknik Universitesi, Turkey 3 Yildiz Teknik Universitesi, Turkey

ABSTRACT

In the design of strength, the strength reduction factor decreases from ductile to brittle to increase safety with

decreasing ductility. In the codes, it is intended to provide the target failure probability by means of safety factors

that are load factors and strength reduction factors. But, the literature related to the safety factor of geopolymer

concrete materials has not been observed. This paper presents how to determine the reduction factor for shear

strength of reinforced geopolymer concrete beams according to ACI318 code. In the reliability-based design, the

reliable prediction of the shear strength of reinforced geopolymer concrete beam is assured by the use of reduction

factors corresponding to different target reliability index. In this study, for different variation coefficients of the

concrete strength, the shear strength reduction factor has been investigated by using experimental studies available

in the literature. In the reliability analysis part of the study, the first-order second moment approach has been used

to determine the reduction factor. ACI 318 [1] code suggests a strength reduction factor value of 0.85 for shear.

However, in ACI 318 [2], the strength reduction factor value for shear is decreased to 0.75. It is found that a

strength reduction factor of 0.75 for shear is valid in design according to ACI318 for a coefficient of variation of

concrete compressive strength of 0.12 and a failure probability of 10-7.

KEYWORDS - Keywords – Geopolymer Concrete, Shear Strength, Failure, Probability, Reduction Factor.



EVALUATION OF THE F2 PEAK PARAMETER HMF2 PREDICTION

PERFORMANCE OF IRI 2016 MODEL

SALIH ALCAY1


ABSTRACT

This study aims to validate the height of F2 peak (hmF2) prediction performance of IRI-2016 model using

AMTB2013 and SHU-2015 options over San Vito station, Italy, (Lat:40.6, Long: 17.8). The analysis covers a

period of one month (April 2019), which includes quiet days. The results of the comparison of observed hmF2

with IRI2016 (AMTB2013) and IRI2016 (SHU-2015) options based hmF2 estimates indicate that the predicted

values of hmF2 overestimate the observed ones. In addition, it is found that SHU-2015 option produces monthly

averages of the hourly data in better agreement with observed data.

KEYWORDS - AMTB2013, hmF2, IRI-2016, SHU-2015



BENEFITS OF MICRO SCALE DEFORMATION DETECTION

MEHMET UZBAS1 , MEHMET KEMAL GOKAY2

1 Technical University of Konya, Turkey 2 Technical University of Konya, Turkey

ABSTRACT

Deformation measurements are important for rock strength tests. There are mechanic and electronic methods to

measure micro scale rock strain related displacements. Moreover, deformations which can not be measured

through electro-mechanical or optical apparatus are also valuable assets in engineering decisions. Digital image

correlation (DIC) method is one of the methods used to realize and calculate very fine (micro) scale deformation

in engineering applications. Compressive strength tests and indirect tension (Brazilian) strength tests were

performed in this study to visualize vertical and horizontal micro displacements of tested specimen surfaces to

evaluate behavior of the sample (breakages) during these tests.

KEYWORDS - Digital Image Correlation, Rock Strength Tests, Micro Scale Rock Deformation, Rock Mechanics.



INVESTIGATION OF THE STABILITY EFFECT OF TIME INTEGRATION

METHODS IN FLUID STRUCTURE INTERACTION PROBLEMS

ABDULLAH DEMIR1 , A ERSIN DINCER2

1 Erzurum Technical University, Turkey

2 Abdullah Gul University, Turkey

ABSTRACT

In the present study, a gridless technique called smoothed particle hydrodynamics (SPH) is coupled with finite

element method (FEM). SPH-FEM coupling method has advantages in the problems with extreme deformations

within a Lagrangian framework. On the fluid side, SPH is prefferred due to its advantages on modelling of

complex flows. On the solid side, well-known FEM is used. This papers deals with the application of different

time integration methods to fluid-structure interaction (FSI) problems. The stability analysis and the

computational efficiency of the time integration methods are presented. The numerical results are compared with

the experimental data.

KEYWORDS - Smoothed Particle Hydrodynamics, Finite Element Method, Fluid Structure Interaction, Time

Integration Methods



LANDSAT IMAGERY AND GIS BASED EVALUATION AND

MONITORING DESERTIFICATION PROCESS SURROUNDING KIRKUK

CITY IRAQ

SUZAN ATTA BAKR1, KAMALADIN F. HASAN2, QAYSSAR MAHMOOD AJAJ3

1Selcuk University, Konya, Turkey 2North Technical University Kirkuk, Iraq 3North Technical University, Kirkuk, Iraq

ABSTRACT

Desertification implies land degradation in areas arising from different variables, including climatic variations and

human operations. Controlling and monitoring the phenomena and calculating the regions that have been

transformed to desert required adequate management. Likes another hazard, the desertification phenomena can be

modeled and identified. Kirkuk City located in north of Iraq. A town situated at longitude 44˚ 00′E to 44˚ 50′ E

and latitude 35 ˚ 13′N to 36 ˚ 29′ N with a total area of 96.79 km2 .it is 236 kilometers north of the capital,

Baghdad. Kirkuk's average elevation is 346 m. This area lies in the North Temperate Zone which the weather in

this region characterizes by very low humidity and low clouds in the most days of the year. For this study, three

set of Landsat image which are Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI for 1987, 2002, and 2017

were used. To classify images, the Maximum Likelihood algorithm was used. Change detection analysis makes

possible monitoring and detecting the environmental changes among different times. The result of change

detection discussed to; short term (1987-2002) and (2002-2017) and long term (1987-2017) change detection. The

amount of desertification has decreased during the period 1987 to 2002 and has increased significantly during the

period 2002 to 2014. The main reasons of the changes that happened in land cover from 1987 to 2002 due to the

changes in climate conditions faced by the potential of government by supporting the farmers and provide them

the necessary materials and machines to develop the agriculture in Iraq. On the other hand, the period from 2002

to 2017; the region suffered from the military operations and carelessness of the government about farmers as well

as the rising of fuel cost prevents them from farms product.

KEYWORDS - Classification, Change detection, GIS, Land cover, land degradation, Remote sensing.

Mechatronic Engineering

Mechanical Engineering

Electrical and Electronics Engineering

Biomedical Engineering

Computer Engineering

Civil Engineering

Metallurgical and Materials Engineering

cente.selcuk.edu.tr

ICENTE’19INTERNATIONAL CONFERENCE

ON ENGINEERING TECHNOLOGIESOctober 25-27, 2019

Konya/TURKEY

Documents

INTERNATIONAL CONFERENCE ON ENGINEERING TECHNOLOGIES · Huse Fatkic, University of Sarajevo, Bosnia and Herzegovina Ibrahim Uyanik, Selcuk University, Turkey Ihsan Korkut, Gazi University,